Add files using upload-large-folder tool

checksums.sha256

@@ -0,0 +1,22 @@
+4048feaea1f42e472e51107ab6fe8c9b21b3b168c0cc653872aec329cebac028  perception/config.yaml
+753643179f13d8b96b05cb0755b6c53a252782d258f219a12a32161cfccaca6e  reconstruction/flows/ss/config.yaml
+029f4c8c4fad0a418041c75380c6577ac63132e72cc18b8f6ad546f362c7ca20  reconstruction/flows/shape/config.yaml
+0056ef2f7fc2ab019d8291b51174b4b33914475830b971f42b92edefd85e653a  reconstruction/flows/pbr/config.yaml
+a1dc5f59baa98f554370b04d5d9e13dfa1be97891129fda5f781b56f11bf3627  reconstruction/vae/ss/config.json
+cec8b0cd343da250c8aeb3490eede32e771626be7813ab373a3c6416439e6e8f  reconstruction/vae/shape/config.json
+819bdb97bd60071d4cfd8b9a06f8f9627c46894e5d116d1e4ea3730302b0ce76  reconstruction/vae/pbr/config.json
+e750b9a596de0aac39d7bf7af5edfb474837e0fb53b444e2d38892009298c149  reconstruction/stats/ss.json
+07905337d02795b082eb408ee636988367b975beee8bdaf5c26250cbd46d6d7f  reconstruction/stats/shape.json
+08537b90775c8311f4c27c449d38b1d01acae2f84f1e10eccc28b4fdfd454868  reconstruction/stats/pbr.json
+3287ae602de46d5676175170f7fccf792d8ec5c4074475fd94088b79893da351  perception/model.pt
+8aa4cbddda325040fc78db2c272754af6ebe8ff2c55f6ec4f1964d8890f66035  external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth
+8393c21110be570cb5268bf359f01be4d19251ca478ccc7e6196cad3f44506cc  reconstruction/flows/ss/model.pt
+556078d8021a1a33854e6bf6002c3ae9d388280e48f2087905eb8f31d1ea50e5  reconstruction/flows/shape/model.pt
+ec8c572f7507ef28032c4969a619e99036c4555c13e4b48f6ccb21f09d46ed37  reconstruction/flows/pbr/model.pt
+e273b68558dc9b6f62ea4c162987b9a786665e1ec049c915baef614aa3435fb7  reconstruction/vae/ss/ckpts/decoder.pt
+a503c67a3c17e501d3b665e0f10a1548915883485d37c6c3e238a0243b4bbd10  reconstruction/vae/shape/ckpts/decoder.pt
+09fede1da7474eced1235e08ad7955ce7a67cb17f6d6d9addc8ee3d41b44890e  reconstruction/vae/pbr/ckpts/decoder.pt
+5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209  external/trellis2/shape_dec_next_dc_f16c32_fp16.json
+e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581  external/trellis2/shape_dec_next_dc_f16c32_fp16.safetensors
+22074e4ab5b28e2b72d33a3fe61bf416134b89e12d0fc5c729f37da75da0c4d1  external/trellis2/tex_dec_next_dc_f16c32_fp16.json
+97ea69addea2ecd9312910f5f548234665eef51c088386180b7cd5b258645e3c  external/trellis2/tex_dec_next_dc_f16c32_fp16.safetensors

external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8aa4cbddda325040fc78db2c272754af6ebe8ff2c55f6ec4f1964d8890f66035
+size 1213050671

external/trellis2/shape_dec_next_dc_f16c32_fp16.json

@@ -0,0 +1,24 @@
+{
+    "name": "FlexiDualGridVaeDecoder",
+    "args": {
+        "resolution": 256,
+        "model_channels": [1024, 512, 256, 128, 64],
+        "latent_channels": 32,
+        "num_blocks": [4, 16, 8, 4, 0],
+        "block_type": [
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d"
+        ],
+        "up_block_type": [
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d"
+        ],
+        "block_args": [{}, {}, {}, {}, {}],
+        "use_fp16": true
+    }
+}

external/trellis2/shape_dec_next_dc_f16c32_fp16.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581
+size 948490494

external/trellis2/tex_dec_next_dc_f16c32_fp16.json

@@ -0,0 +1,25 @@
+{
+    "name": "SparseUnetVaeDecoder",
+    "args": {
+        "out_channels": 6,
+        "model_channels": [1024, 512, 256, 128, 64],
+        "latent_channels": 32,
+        "num_blocks": [4, 16, 8, 4, 0],
+        "block_type": [
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d",
+            "SparseConvNeXtBlock3d"
+        ],
+        "up_block_type": [
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d",
+            "SparseResBlockC2S3d"
+        ],
+        "block_args": [{}, {}, {}, {}, {}],
+        "pred_subdiv": false,
+        "use_fp16": true
+    }
+}

external/trellis2/tex_dec_next_dc_f16c32_fp16.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97ea69addea2ecd9312910f5f548234665eef51c088386180b7cd5b258645e3c
+size 948458812

licenses/DINOV3_LICENSE.md

@@ -0,0 +1,66 @@
+# DINOv3 License
+
+*Last Updated: August 19, 2025*
+
+**“Agreement”** means the terms and conditions for use, reproduction, distribution and modification of the DINO Materials set forth herein.
+
+**“DINO Materials”** means, collectively, Documentation and the models, software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and other elements of the foregoing distributed by Meta and made available under this Agreement.
+
+**“Documentation”** means the specifications, manuals and documentation accompanying
+DINO Materials distributed by Meta.
+
+**“Licensee”** or **“you”** means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
+
+**“Meta”** or **“we”** means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) or Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
+
+**“Sanctions”** means any economic or trade sanctions or restrictions administered or enforced by the United States (including the Office of Foreign Assets Control of the U.S. Department of the Treasury (“OFAC”), the U.S. Department of State and the U.S. Department of Commerce), the United Nations, the European Union, or the United Kingdom.
+
+**“Trade Controls”** means any of the following: Sanctions and applicable export and import controls.
+
+By clicking “I Accept” below or by using or distributing any portion or element of the DINO Materials, you agree to be bound by this Agreement.
+
+## 1. License Rights and Redistribution.
+
+a. <ins>Grant of Rights</ins>. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the DINO Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the DINO Materials.
+
+b. <ins>Redistribution and Use</ins>.
+
+i. Distribution of DINO Materials, and any derivative works thereof, are subject to the terms of this Agreement. If you distribute or make the DINO Materials, or any derivative works thereof, available to a third party, you may only do so under the terms of this Agreement and you shall provide a copy of this Agreement with any such DINO Materials.
+
+ii.  If you submit for publication the results of research you perform on, using, or otherwise in connection with DINO Materials, you must acknowledge the use of DINO Materials in your publication.
+
+iii. Your use of the DINO Materials must comply with applicable laws and regulations, including Trade Control Laws and applicable privacy and data protection laws.
+
+iv. Your use of the DINO Materials will not involve or encourage others to reverse engineer, decompile or discover the underlying components of the DINO Materials.
+
+v. You are not the target of Trade Controls and your use of DINO Materials must comply with Trade Controls. You agree not to use, or permit others to use, DINO Materials for any activities subject to the International Traffic in Arms Regulations (ITAR) or end uses prohibited by Trade Controls, including those related to military or warfare purposes, nuclear industries or applications, espionage, or the development or use of guns or illegal weapons.
+
+## 2. User Support.
+
+Your use of the DINO Materials is done at your own discretion; Meta does not process any information nor provide any service in relation to such use.  Meta is under no obligation to provide any support services for the DINO Materials. Any support provided is “as is”, “with all faults”, and without warranty of any kind.
+
+## 3. Disclaimer of Warranty.
+
+UNLESS REQUIRED BY APPLICABLE LAW, THE DINO MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE DINO MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE DINO MATERIALS AND ANY OUTPUT AND RESULTS.
+
+## 4. Limitation of Liability.
+
+IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY DIRECT OR INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
+
+## 5. Intellectual Property.
+
+a. Subject to Meta’s ownership of DINO Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the DINO Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.
+
+b. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the DINO Materials, outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the DINO Materials.
+
+## 6. Term and Termination.
+
+The term of this Agreement will commence upon your acceptance of this Agreement or access to the DINO Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the DINO Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.
+
+## 7. Governing Law and Jurisdiction.
+
+This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.
+
+## 8. Modifications and Amendments.
+
+Meta may modify this Agreement from time to time; provided that they are similar in spirit to the current version of the Agreement, but may differ in detail to address new problems or concerns. All such changes will be effective immediately. Your continued use of the DINO Materials after any modification to this Agreement constitutes your agreement to such modification. Except as provided in this Agreement, no modification or addition to any provision of this Agreement will be binding unless it is in writing and signed by an authorized representative of both you and Meta.

licenses/TRELLIS2_LICENSE

@@ -0,0 +1,21 @@
+    MIT License
+
+    Copyright (c) Microsoft Corporation.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE

manifest.json

@@ -0,0 +1,116 @@
+{
+  "schema": "fire3d_model_bundle_v1",
+  "source_commit": "44233d13bba7d03a7ec3f9ad9817abe283e7f85d",
+  "files": [
+    {
+      "path": "perception/config.yaml",
+      "bytes": 813,
+      "sha256": "4048feaea1f42e472e51107ab6fe8c9b21b3b168c0cc653872aec329cebac028"
+    },
+    {
+      "path": "reconstruction/flows/ss/config.yaml",
+      "bytes": 1373,
+      "sha256": "753643179f13d8b96b05cb0755b6c53a252782d258f219a12a32161cfccaca6e"
+    },
+    {
+      "path": "reconstruction/flows/shape/config.yaml",
+      "bytes": 1060,
+      "sha256": "029f4c8c4fad0a418041c75380c6577ac63132e72cc18b8f6ad546f362c7ca20"
+    },
+    {
+      "path": "reconstruction/flows/pbr/config.yaml",
+      "bytes": 1313,
+      "sha256": "0056ef2f7fc2ab019d8291b51174b4b33914475830b971f42b92edefd85e653a"
+    },
+    {
+      "path": "reconstruction/vae/ss/config.json",
+      "bytes": 432,
+      "sha256": "a1dc5f59baa98f554370b04d5d9e13dfa1be97891129fda5f781b56f11bf3627"
+    },
+    {
+      "path": "reconstruction/vae/shape/config.json",
+      "bytes": 2317,
+      "sha256": "cec8b0cd343da250c8aeb3490eede32e771626be7813ab373a3c6416439e6e8f"
+    },
+    {
+      "path": "reconstruction/vae/pbr/config.json",
+      "bytes": 2325,
+      "sha256": "819bdb97bd60071d4cfd8b9a06f8f9627c46894e5d116d1e4ea3730302b0ce76"
+    },
+    {
+      "path": "reconstruction/stats/ss.json",
+      "bytes": 605,
+      "sha256": "e750b9a596de0aac39d7bf7af5edfb474837e0fb53b444e2d38892009298c149"
+    },
+    {
+      "path": "reconstruction/stats/shape.json",
+      "bytes": 3106,
+      "sha256": "07905337d02795b082eb408ee636988367b975beee8bdaf5c26250cbd46d6d7f"
+    },
+    {
+      "path": "reconstruction/stats/pbr.json",
+      "bytes": 3119,
+      "sha256": "08537b90775c8311f4c27c449d38b1d01acae2f84f1e10eccc28b4fdfd454868"
+    },
+    {
+      "path": "perception/model.pt",
+      "bytes": 13596668831,
+      "sha256": "3287ae602de46d5676175170f7fccf792d8ec5c4074475fd94088b79893da351"
+    },
+    {
+      "path": "external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth",
+      "bytes": 1213050671,
+      "sha256": "8aa4cbddda325040fc78db2c272754af6ebe8ff2c55f6ec4f1964d8890f66035"
+    },
+    {
+      "path": "reconstruction/flows/ss/model.pt",
+      "bytes": 12904495773,
+      "sha256": "8393c21110be570cb5268bf359f01be4d19251ca478ccc7e6196cad3f44506cc"
+    },
+    {
+      "path": "reconstruction/flows/shape/model.pt",
+      "bytes": 12907239883,
+      "sha256": "556078d8021a1a33854e6bf6002c3ae9d388280e48f2087905eb8f31d1ea50e5"
+    },
+    {
+      "path": "reconstruction/flows/pbr/model.pt",
+      "bytes": 12913046327,
+      "sha256": "ec8c572f7507ef28032c4969a619e99036c4555c13e4b48f6ccb21f09d46ed37"
+    },
+    {
+      "path": "reconstruction/vae/ss/ckpts/decoder.pt",
+      "bytes": 351347261,
+      "sha256": "e273b68558dc9b6f62ea4c162987b9a786665e1ec049c915baef614aa3435fb7"
+    },
+    {
+      "path": "reconstruction/vae/shape/ckpts/decoder.pt",
+      "bytes": 3037655507,
+      "sha256": "a503c67a3c17e501d3b665e0f10a1548915883485d37c6c3e238a0243b4bbd10"
+    },
+    {
+      "path": "reconstruction/vae/pbr/ckpts/decoder.pt",
+      "bytes": 3037591047,
+      "sha256": "09fede1da7474eced1235e08ad7955ce7a67cb17f6d6d9addc8ee3d41b44890e"
+    },
+    {
+      "path": "external/trellis2/shape_dec_next_dc_f16c32_fp16.json",
+      "bytes": 678,
+      "sha256": "5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209"
+    },
+    {
+      "path": "external/trellis2/shape_dec_next_dc_f16c32_fp16.safetensors",
+      "bytes": 948490494,
+      "sha256": "e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581"
+    },
+    {
+      "path": "external/trellis2/tex_dec_next_dc_f16c32_fp16.json",
+      "bytes": 705,
+      "sha256": "22074e4ab5b28e2b72d33a3fe61bf416134b89e12d0fc5c729f37da75da0c4d1"
+    },
+    {
+      "path": "external/trellis2/tex_dec_next_dc_f16c32_fp16.safetensors",
+      "bytes": 948458812,
+      "sha256": "97ea69addea2ecd9312910f5f548234665eef51c088386180b7cd5b258645e3c"
+    }
+  ]
+}

perception/config.yaml

@@ -0,0 +1,36 @@
+model:
+  dino:
+    model_path: checkpoints/Fire3D/external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth
+    repo_dir: third_party/dinov3
+  point_unet:
+    conv_layers:
+    - 1024
+    - 1024
+    d_model: 1024
+    input_channels: 1024
+    max_len_input: 30000
+    max_len_output: 30000
+    sample_rate: 60
+  resolution: 256
+  scene_decoder:
+    cost_weights:
+      cls: 0.1
+      pos: 10.0
+      rot: 1.0
+      scl: 10.0
+      seg_dice: 0.0
+      seg_focal: 0.0
+    d_model: 1024
+    dim_feedforward: 4096
+    dropout: 0.1
+    dtype: float32
+    logit_scale: null
+    num_attn_heads: 16
+    num_bins: 1024
+    num_decoder_layers: 6
+    num_encoder_layers: 6
+    num_seg_encoder_layers: 6
+    seg_feat_dim: 1024
+    seg_feat_use_pose_transformer: false
+    seg_feat_with_spatial: true
+    seg_pos_input_first: false

perception/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3287ae602de46d5676175170f7fccf792d8ec5c4074475fd94088b79893da351
+size 13596668831

reconstruction/flows/pbr/config.yaml

@@ -0,0 +1,53 @@
+model:
+  resolution: 1024
+  max_cond_len: 512
+  shape_x2:
+    channels: 64
+    ckpt_root: not_required_for_inference
+    step: 300000
+    x2_latent_stats_path: stats/shape.json
+    normalize_condition: true
+  pbr_x2:
+    ckpt_root: not_required_for_inference
+    step: 140000
+    weights: normal
+    x2_latent_stats_path: stats/pbr.json
+    normalize_target: true
+  dino:
+    model_path: checkpoints/Fire3D/external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth
+    repo_dir: third_party/dinov3
+    model_name: dinov3_vitl16
+    downsample: 16
+    upsample: 4
+    anyup_model: anyup_multi_backbone
+    anyup_repo: wimmerth/anyup
+    anyup_source: github
+    anyup_use_natten: true
+    anyup_q_chunk_size: null
+    anyup_tile_grid: 0
+    anyup_frame_batch_size: 32
+  appearance_condition:
+    mode: dino_rgb
+    hidden_channels: 256
+    zero_init_residual: true
+  context_encoder:
+    type: fourier_add
+    channels: 1024
+    fourier_sample_rate: 60
+  flow_model_pbr_x2:
+    resolution: 8
+    in_channels: 128
+    model_channels: 1536
+    cond_channels: 1024
+    out_channels: 64
+    num_blocks: 30
+    mlp_ratio: 5.3334
+    num_heads: 12
+    pe_mode: rope
+    share_mod: true
+    initialization: scaled
+    qk_rms_norm: true
+    qk_rms_norm_cross: true
+    dtype: bfloat16
+  flow_trainer_pbr_x2:
+    p_uncond: 0.1

reconstruction/flows/pbr/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec8c572f7507ef28032c4969a619e99036c4555c13e4b48f6ccb21f09d46ed37
+size 12913046327

reconstruction/flows/shape/config.yaml

@@ -0,0 +1,43 @@
+model:
+  context_encoder:
+    channels: 1024
+    fourier_sample_rate: 60
+    type: fourier_add
+  dino:
+    anyup_frame_batch_size: 32
+    anyup_model: anyup_multi_backbone
+    anyup_q_chunk_size: null
+    anyup_repo: wimmerth/anyup
+    anyup_source: github
+    anyup_tile_grid: 0
+    anyup_use_natten: true
+    downsample: 16
+    model_name: dinov3_vitl16
+    model_path: checkpoints/Fire3D/external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth
+    repo_dir: third_party/dinov3
+    upsample: 4
+  flow_model_shape_x2:
+    cond_channels: 1024
+    dtype: bfloat16
+    in_channels: 64
+    initialization: scaled
+    mlp_ratio: 5.3334
+    model_channels: 1536
+    num_blocks: 30
+    num_heads: 12
+    out_channels: 64
+    pe_mode: rope
+    qk_rms_norm: true
+    qk_rms_norm_cross: true
+    resolution: 8
+    share_mod: true
+  flow_trainer_shape_x2:
+    p_uncond: 0.1
+  max_cond_len: 512
+  resolution: 1024
+  shape_x2:
+    ckpt_root: not_required_for_inference
+    normalize_target: true
+    step: 300000
+    use_ema: true
+    x2_latent_stats_path: stats/shape.json

reconstruction/flows/shape/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:556078d8021a1a33854e6bf6002c3ae9d388280e48f2087905eb8f31d1ea50e5
+size 12907239883

reconstruction/flows/ss/config.yaml

@@ -0,0 +1,52 @@
+model:
+  architecture_contract: ss_flow_dit_1p3b_30block
+  resolution: 1024
+  max_cond_len: 512
+  ss_x2:
+    ckpt_root: not_required_for_inference
+    step: 150000
+    use_ema: true
+    encoder_sha256: 277ac6d5ee775c91e8f87b8832702d8900637a1de0dde61a2c02b01d9a88c50f
+    decoder_sha256: e273b68558dc9b6f62ea4c162987b9a786665e1ec049c915baef614aa3435fb7
+    latent_stats_path: stats/ss.json
+    normalize_target: true
+  dino:
+    model_path: checkpoints/Fire3D/external/dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth
+    repo_dir: third_party/dinov3
+    model_name: dinov3_vitl16
+    downsample: 16
+    upsample: 4
+    anyup_model: anyup_multi_backbone
+    anyup_repo: wimmerth/anyup
+    anyup_source: github
+    anyup_use_natten: true
+    anyup_q_chunk_size: null
+    anyup_tile_grid: 0
+    anyup_frame_batch_size: 32
+  context_encoder:
+    type: fourier_add
+    channels: 1024
+    fourier_sample_rate: 60
+  flow_model_ss_x2:
+    resolution: 2
+    in_channels: 8
+    model_channels: 1536
+    cond_channels: 1024
+    out_channels: 8
+    num_blocks: 30
+    mlp_ratio: 5.3334
+    num_heads: 12
+    pe_mode: rope
+    share_mod: true
+    initialization: scaled
+    qk_rms_norm: true
+    qk_rms_norm_cross: true
+    dtype: bfloat16
+  flow_trainer_ss_x2:
+    p_uncond: 0.1
+    sigma_min: 1.0e-05
+    t_schedule:
+      name: logitNormal
+      args:
+        mean: 0.0
+        std: 1.0

reconstruction/flows/ss/model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8393c21110be570cb5268bf359f01be4d19251ca478ccc7e6196cad3f44506cc
+size 12904495773

reconstruction/stats/pbr.json

@@ -0,0 +1,134 @@
+{
+  "mean": [
+    -1.2530881520132582,
+    -0.0644102708389307,
+    -0.7399266055987785,
+    -0.1365513756104264,
+    0.5397275362269194,
+    1.1693843865055773,
+    -1.514487887653681,
+    0.037953523986041196,
+    -0.2889096251842967,
+    0.27990049725931104,
+    1.4181384359895388,
+    -0.7111946507455881,
+    -0.04421815516382554,
+    -0.30952235166469616,
+    1.6564486246780905,
+    0.20859729017969073,
+    -0.07471541697798284,
+    -1.2614635283650841,
+    -0.4490158577763533,
+    -1.233356699746285,
+    2.1988974748067425,
+    -0.5243069669412604,
+    0.3144244186142196,
+    -2.0023037433352178,
+    -0.28452870543883635,
+    -1.2288716931565176,
+    0.8244828972782933,
+    1.4441342261270358,
+    0.2605725707982873,
+    -0.40507863270951505,
+    -0.6095381897738819,
+    -0.4357614837589839,
+    -1.8657117961707692,
+    0.39363504342237793,
+    -0.2264812673426604,
+    -0.5446211361610591,
+    0.0030896135123082047,
+    -1.5074189737328731,
+    1.073430743366407,
+    -0.9643111976383589,
+    -1.460471153191304,
+    -1.7866516101528973,
+    0.5442364524877583,
+    0.12003412973004589,
+    0.7536710582642173,
+    1.2207833914534052,
+    1.7016359921323185,
+    1.6506749064437212,
+    0.793230652661255,
+    0.624123491900255,
+    -1.6646427188375021,
+    0.15883249465962523,
+    1.217548800729256,
+    0.14857753843741875,
+    -1.8226775270548452,
+    0.10912069882061863,
+    -0.7278360678352538,
+    1.274139466747097,
+    1.0409139515942076,
+    0.531477006582037,
+    0.598248167546526,
+    -0.10740513896809228,
+    -2.277197662655617,
+    -0.5466407565965744
+  ],
+  "std": [
+    3.412186904512614,
+    2.9384485439333448,
+    3.324394746733383,
+    2.8891463309734218,
+    2.886009885142246,
+    3.323960847105297,
+    3.4519958054416082,
+    2.9985098262822674,
+    2.806814801867064,
+    3.1020154184199287,
+    3.092588296563773,
+    3.1324674906287724,
+    3.2574565552219044,
+    3.243428846339662,
+    3.0241169947651043,
+    3.1815865132572334,
+    3.293989589882208,
+    3.4094406772311614,
+    3.013135536532646,
+    3.347924285140075,
+    3.2327068050374734,
+    2.9533237529759493,
+    2.904738970808989,
+    3.352720432360656,
+    3.1644252376237043,
+    3.251613315736716,
+    3.189641418405642,
+    3.5413795595030426,
+    3.116138470889567,
+    3.290767796155729,
+    3.104067488315055,
+    3.1826304399708967,
+    3.2797579614979298,
+    3.0288388313914347,
+    3.3784410887710776,
+    2.8488685579783506,
+    3.3183512482489563,
+    3.440469689660593,
+    3.151334366835851,
+    3.0574139143767134,
+    3.2559823597117195,
+    3.3469977650173446,
+    3.3886909516538273,
+    2.9080701866920498,
+    3.1594968225857336,
+    3.1397524454379724,
+    3.2624769811732546,
+    3.6742524023505734,
+    2.8513786873545586,
+    3.1899667250930546,
+    3.193213782422558,
+    3.0741212801749187,
+    3.2633019478341145,
+    3.0572150070674864,
+    3.417470174997646,
+    2.817740529454644,
+    3.161578366264936,
+    3.528031470480318,
+    3.0783456481092077,
+    3.171894634752254,
+    3.155113605129777,
+    2.9321992974141695,
+    3.2692030808535186,
+    3.578945349828332
+  ]
+}

reconstruction/stats/shape.json

@@ -0,0 +1,134 @@
+{
+  "mean": [
+    -0.7776577605380027,
+    -1.2936228666092981,
+    -1.206440831577639,
+    -0.8769130581865774,
+    0.18960350436556742,
+    -0.8451889436753804,
+    1.6411195558092266,
+    1.0552795333759404,
+    -1.3844880343285,
+    0.20390584495799363,
+    0.19908435592230894,
+    3.1197074942171144,
+    0.17253242222677925,
+    0.031561189469286266,
+    -0.9432838360525516,
+    -0.7642676340698166,
+    1.0066775542132944,
+    -1.7380333294626111,
+    -1.5619231741088793,
+    2.3855181980446947,
+    0.9315398585509564,
+    -0.1040801658344498,
+    -0.5641703034778778,
+    -1.236531129632454,
+    0.9161513891766087,
+    2.066042035826607,
+    -0.3216253273965856,
+    -1.054425551555024,
+    0.5900211627425542,
+    0.36915015167640625,
+    0.967203787273073,
+    0.446740841152798,
+    -1.0725630015210905,
+    0.5076804648689592,
+    2.700182772607809,
+    0.761421811443835,
+    -1.378171405083318,
+    -0.4547186186312799,
+    1.1334773120299095,
+    -0.5516793154399323,
+    -0.47746709124959763,
+    0.28189800120043557,
+    0.2576961321633689,
+    -1.0636101094044663,
+    0.5325203342819825,
+    -1.4242167394409617,
+    -2.670677040850474,
+    -0.14180978060501856,
+    -1.2887991586815437,
+    -0.5235684905565179,
+    1.4885889914623576,
+    0.9153382936800939,
+    -0.7202170909881188,
+    0.1379526393035327,
+    -0.20938882279266927,
+    1.7209327567845416,
+    -0.626556586679683,
+    0.24864341833518028,
+    -0.5540211849541379,
+    -0.8918273095438652,
+    -0.7780146502049409,
+    -0.047022300892850005,
+    -1.7581966117070083,
+    0.4714581508038311
+  ],
+  "std": [
+    3.428400538507661,
+    2.72837795510951,
+    2.698289742781287,
+    2.682685117201153,
+    2.8636821155066614,
+    2.9379784620565377,
+    2.893205450343826,
+    3.0150836625233395,
+    3.227969809348142,
+    3.046945525612591,
+    2.450091555477266,
+    2.681365134790454,
+    2.6452221235587854,
+    2.6419692767299945,
+    2.5862306215793476,
+    2.759666835192369,
+    3.2003196106856358,
+    2.6927209213511,
+    3.0031419899026424,
+    2.6985225061326723,
+    2.954754380577771,
+    2.87953230491482,
+    3.3803081416486753,
+    3.085929311926291,
+    2.813454647829508,
+    3.301515523583041,
+    2.7819123315608967,
+    3.091944253536347,
+    2.567092172792301,
+    2.8242989412172226,
+    2.7300794030336375,
+    2.668082474958268,
+    2.75768103611392,
+    3.1602643716344683,
+    3.3484137385078863,
+    2.776258261756849,
+    3.059299319836294,
+    2.651993192262059,
+    3.0045547215172146,
+    2.6231992783967417,
+    2.7609214392348886,
+    2.7026728815053134,
+    2.7772982083860422,
+    2.940634794700367,
+    2.680171366845329,
+    2.8023016209020324,
+    3.344501826330476,
+    3.4078044304717947,
+    3.1486357314416513,
+    2.9178993376581386,
+    2.90966251711458,
+    2.9273996446740274,
+    2.7816463515067023,
+    2.4873022943969363,
+    2.6381867442328053,
+    2.9507718650134227,
+    3.3240637042617456,
+    2.7585888359439257,
+    2.773062459816162,
+    2.8789950445767634,
+    2.8360884439144836,
+    2.6397674682487513,
+    3.0937074528501567,
+    2.7810983367893085
+  ]
+}

reconstruction/stats/ss.json

@@ -0,0 +1,28 @@
+{
+  "latent_channels": 8,
+  "latent_resolution": 2,
+  "mean": [
+    0.21030242839569405,
+    -0.5397908850779628,
+    -0.28788196591802323,
+    0.18075138519989759,
+    -0.17677796674967608,
+    -0.37965716547210293,
+    -0.195549894672861,
+    -0.11527484839260747
+  ],
+  "ss_vae": {
+    "encoder_sha256": "277ac6d5ee775c91e8f87b8832702d8900637a1de0dde61a2c02b01d9a88c50f",
+    "step": 150000
+  },
+  "std": [
+    0.8063443907829375,
+    0.7791472500352956,
+    0.8876930471389157,
+    0.6953510382911577,
+    0.72782020959785,
+    0.8676387775300276,
+    0.6567746417187256,
+    0.9477833679343537
+  ]
+}

reconstruction/vae/pbr/ckpts/decoder.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09fede1da7474eced1235e08ad7955ce7a67cb17f6d6d9addc8ee3d41b44890e
+size 3037591047

reconstruction/vae/pbr/config.json

@@ -0,0 +1,122 @@
+{
+  "models": {
+    "decoder": {
+      "name": "SparseUnetVaeDecoder",
+      "args": {
+        "out_channels": 32,
+        "model_channels": [
+          1280,
+          640,
+          160
+        ],
+        "latent_channels": 64,
+        "num_blocks": [
+          8,
+          6,
+          4
+        ],
+        "block_type": [
+          "SparseConvNeXtBlock3d",
+          "SparseConvNeXtBlock3d",
+          "SparseConvNeXtBlock3d"
+        ],
+        "up_block_type": [
+          "SparseResBlockC2S3d",
+          "SparseResBlockC2S3d"
+        ],
+        "block_args": [
+          {
+            "use_checkpoint": false
+          },
+          {
+            "use_checkpoint": false
+          },
+          {
+            "use_checkpoint": false
+          }
+        ],
+        "use_fp16": true,
+        "pred_subdiv": false
+      }
+    }
+  },
+  "dataset": {
+    "args": {
+      "pbr_slat_normalization": {
+        "mean": [
+          3.501659,
+          2.212398,
+          2.226094,
+          0.251093,
+          -0.026248,
+          -0.687364,
+          0.439898,
+          -0.928075,
+          0.029398,
+          -0.339596,
+          -0.869527,
+          1.038479,
+          -0.972385,
+          0.126042,
+          -1.129303,
+          0.455149,
+          -1.209521,
+          2.069067,
+          0.544735,
+          2.569128,
+          -0.323407,
+          2.293,
+          -1.925608,
+          -1.217717,
+          1.213905,
+          0.971588,
+          -0.023631,
+          0.10675,
+          2.021786,
+          0.250524,
+          -0.662387,
+          -0.768862
+        ],
+        "std": [
+          2.665652,
+          2.743913,
+          2.765121,
+          2.595319,
+          3.037293,
+          2.291316,
+          2.144656,
+          2.911822,
+          2.969419,
+          2.501689,
+          2.154811,
+          3.163343,
+          2.621215,
+          2.381943,
+          3.186697,
+          3.021588,
+          2.295916,
+          3.234985,
+          3.233086,
+          2.26014,
+          2.874801,
+          2.810596,
+          3.29272,
+          2.674999,
+          2.680878,
+          2.372054,
+          2.451546,
+          2.353556,
+          2.995195,
+          2.379849,
+          2.786195,
+          2.77519
+        ]
+      }
+    }
+  },
+  "trainer": {
+    "args": {
+      "ema_rate": 0.9999
+    }
+  }
+}

reconstruction/vae/shape/ckpts/decoder.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a503c67a3c17e501d3b665e0f10a1548915883485d37c6c3e238a0243b4bbd10
+size 3037655507

reconstruction/vae/shape/config.json

@@ -0,0 +1,122 @@
+{
+  "models": {
+    "decoder": {
+      "name": "SparseUnetVaeDecoder",
+      "args": {
+        "out_channels": 32,
+        "model_channels": [
+          1280,
+          640,
+          160
+        ],
+        "latent_channels": 64,
+        "num_blocks": [
+          8,
+          6,
+          4
+        ],
+        "block_type": [
+          "SparseConvNeXtBlock3d",
+          "SparseConvNeXtBlock3d",
+          "SparseConvNeXtBlock3d"
+        ],
+        "up_block_type": [
+          "SparseResBlockC2S3d",
+          "SparseResBlockC2S3d"
+        ],
+        "block_args": [
+          {
+            "use_checkpoint": false
+          },
+          {
+            "use_checkpoint": false
+          },
+          {
+            "use_checkpoint": false
+          }
+        ],
+        "use_fp16": true,
+        "pred_subdiv": true
+      }
+    }
+  },
+  "dataset": {
+    "args": {
+      "normalization": {
+        "mean": [
+          0.781296,
+          0.018091,
+          -0.495192,
+          -0.558457,
+          1.06053,
+          0.093252,
+          1.518149,
+          -0.933218,
+          -0.732996,
+          2.604095,
+          -0.118341,
+          -2.143904,
+          0.495076,
+          -2.179512,
+          -2.130751,
+          -0.996944,
+          0.261421,
+          -2.217463,
+          1.260067,
+          -0.150213,
+          3.790713,
+          1.481266,
+          -1.046058,
+          -1.523667,
+          -0.059621,
+          2.22078,
+          1.621212,
+          0.87723,
+          0.567247,
+          -3.175944,
+          -3.186688,
+          1.578665
+        ],
+        "std": [
+          5.972266,
+          4.706852,
+          5.44501,
+          5.209927,
+          5.32022,
+          4.547237,
+          5.020802,
+          5.444004,
+          5.226681,
+          5.683095,
+          4.831436,
+          5.286469,
+          5.652043,
+          5.367606,
+          5.525084,
+          4.730578,
+          4.805265,
+          5.124013,
+          5.530808,
+          5.619001,
+          5.10393,
+          5.41767,
+          5.269677,
+          5.547194,
+          5.634698,
+          5.235274,
+          6.110351,
+          5.511298,
+          6.237273,
+          4.879207,
+          5.347008,
+          5.405691
+        ]
+      }
+    }
+  },
+  "trainer": {
+    "args": {
+      "ema_rate": 0.9999
+    }
+  }
+}

reconstruction/vae/ss/ckpts/decoder.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e273b68558dc9b6f62ea4c162987b9a786665e1ec049c915baef614aa3435fb7
+size 351347261

reconstruction/vae/ss/config.json

@@ -0,0 +1,27 @@
+{
+  "models": {
+    "decoder": {
+      "name": "SparseStructureDecoder",
+      "args": {
+        "out_channels": 1,
+        "latent_channels": 8,
+        "num_res_blocks": 2,
+        "num_res_blocks_middle": 3,
+        "channels": [
+          512,
+          128,
+          32
+        ],
+        "use_fp16": true
+      }
+    }
+  },
+  "dataset": {
+    "args": {}
+  },
+  "trainer": {
+    "args": {
+      "ema_rate": 0.9999
+    }
+  }
+}