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.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+cloth3/log/gs/scans/cloth3/cloth3.ply filter=lfs diff=lfs merge=lfs -text
+cloth3/log/gs/scans/scene_gripper/scene_gripper.ply filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,9 @@
+# DeformGen SimAssets
+
+This repository contains DeformGen-specific simulation assets that are not hosted by upstream `real2sim-eval` assets.
+
+## Contents
+
+- `cloth3/`: Cloth3 Gaussian Splatting, PhysTwin checkpoint, optimized parameters, and config snapshot.
+
+Rope and sloth assets should be resolved from the upstream MIT-licensed `real2sim-eval` Hugging Face assets referenced in the DeformGen release plan and repository asset manifest.

cloth3/README.md

@@ -0,0 +1,3 @@
+# DeformGen cloth3 Simulation Assets
+
+Download this directory and merge its contents into the DeformGen repository root, or let `deformgen-fetch sim-assets --case cloth3` materialize the listed runtime targets.

cloth3/asset_manifest.json

@@ -0,0 +1,52 @@
+{
+  "case": "cloth3",
+  "layout": "merge this cloth3 directory into the DeformGen repository root",
+  "required_runtime_targets": {
+    "gs_object": "log/gs/scans/cloth3/cloth3.ply",
+    "gs_scene": "log/gs/scans/scene_gripper/scene_gripper.ply",
+    "gs_mask": "log/gs/scans/scene_gripper/scene_gripper_mask.npy",
+    "physics_root": "log/phystwin/cloth3"
+  },
+  "excluded": [
+    "scene_gripper_raw.ply",
+    "robot URDF assets already shipped with DeformGen code"
+  ],
+  "generated_at": "2026-06-23T15:59:59.146093+00:00",
+  "files": [
+    {
+      "path": "config_snapshot/cloth3.yaml",
+      "bytes": 979,
+      "sha256": "a4044552c349c65aafc3d498c4c6ce3ee6170976464578db63e27e34d2ebd209"
+    },
+    {
+      "path": "log/gs/scans/cloth3/cloth3.ply",
+      "bytes": 17251418,
+      "sha256": "29e22b7a28869d7034f5a58d5a7c774b64d6b6cd9d9e653dedef5883579864c7"
+    },
+    {
+      "path": "log/gs/scans/scene_gripper/scene_gripper.ply",
+      "bytes": 76477277,
+      "sha256": "5683ea4957a936a2ec3b39642559b7fa72e57a3d9b403f79a1a4ffff98af168d"
+    },
+    {
+      "path": "log/gs/scans/scene_gripper/scene_gripper_mask.npy",
+      "bytes": 1296328,
+      "sha256": "b02e2167ccf3ef5c5db9f8c4e61bd72228070a202f0ec38cc440968e2cc443e2"
+    },
+    {
+      "path": "log/phystwin/cloth3/data/cloth3_0001/final_data.pkl",
+      "bytes": 27607046,
+      "sha256": "c823c86c5d2b29c289287c46ad1c6fa5c50e7c9c84b5e61f21fe2001b9dc0a88"
+    },
+    {
+      "path": "log/phystwin/cloth3/experiments/cloth3_0001/train/best_99.pth",
+      "bytes": 1253978,
+      "sha256": "93f6d095c645550e0ac9c4916d842b42b223d5c5d8dbab524e3636b8e544daaa"
+    },
+    {
+      "path": "log/phystwin/cloth3/experiments_optimization/cloth3_0001/optimal_params.pkl",
+      "bytes": 551,
+      "sha256": "2e14aa3aef2e695933fc1355b828b25d43d46a989f5f9e220c8aa53928f01bc3"
+    }
+  ]
+}

cloth3/config_snapshot/cloth3.yaml

@@ -0,0 +1,46 @@
+use_shs: False
+use_grid_randomization: False
+
+# double_lift_cloth_1 对应 PhysTwin 数据 (final_data.pkl) 的物体点数
+num_object_points: 4742
+
+scene:
+  table_splat_path: 'log/gs/scans/scene_gripper/scene_gripper.ply'
+  total_mask_path: 'log/gs/scans/scene_gripper/scene_gripper_mask.npy'
+  color_A: [
+    -0.218, 1.491, 0.410, 1.006, -1.334, -0.439,
+    -0.396, 1.112, 0.665, 0.876, -0.996, -0.422,
+    -0.174, 0.438, 0.985, 0.452, -0.302, -0.579
+  ]
+  color_b: [
+      0.162, 0.123, 0.070
+  ]
+
+object:
+  path: 'log/gs/scans/cloth3/cloth3.ply'
+  # 绕 x 轴旋转 180 度
+  pose: [
+    1.0, 0.0, 0.0, 0.4,
+    0.0, -1.0, 0.0, 0.0,
+    0.0, 0.0, -1.0, 0.05,
+    0.0, 0.0, 0.0, 1.0
+  ]
+  translation_range: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+  azimuth_range: [0, 0]
+  color_A: [
+    1.0, 0.0, 0.0,
+    0.0, 1.0, 0.0,
+    0.0, 0.0, 1.0
+  ]
+  color_b: [
+    0.0, 0.0, 0.0
+  ]
+
+  grid_randomization:
+    xy:
+      - [0.0, 0.0]
+    theta:
+      - 0
+    one_to_one: false
+
+meshes: []

cloth3/log/gs/scans/cloth3/cloth3.ply

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cloth3/log/gs/scans/scene_gripper/scene_gripper.ply

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cloth3/log/gs/scans/scene_gripper/scene_gripper_mask.npy

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cloth3/log/phystwin/cloth3/data/cloth3_0001/final_data.pkl

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cloth3/log/phystwin/cloth3/experiments/cloth3_0001/train/best_99.pth

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cloth3/log/phystwin/cloth3/experiments_optimization/cloth3_0001/optimal_params.pkl

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