Upload RE10K DL3DV 2-view Hub-format checkpoint

re10k-dl3dv-2view/README.md

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+---
+library_name: pytorch
+pipeline_tag: image-to-3d
+tags:
+- 3d-gaussian-splatting
+- novel-view-synthesis
+- feed-forward
+- vggt
+- f4splat
+---
+
+# F4Splat
+
+This is the F4Splat RE10K+DL3DV 2-view checkpoint converted to Hugging Face
+Hub format. It is intended to be loaded with `src.model.f4splat_hub.F4SplatHubModel`.
+
+```python
+import torch
+from src.model.f4splat_hub import F4SplatHubModel
+
+model = F4SplatHubModel.from_pretrained("Knowing/F4Splat")
+model = model.eval().cuda()
+```
+
+The model expects 2-16 RGB context images resized to 256x256 and normalized to
+`[0, 1]`. The local Gradio demo in this repository exposes budget control and
+interactive PLY export.
+
+Project page: https://mlvlab.github.io/F4Splat/
+Paper: https://arxiv.org/abs/2603.21304

re10k-dl3dv-2view/config.json

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+{
+  "decoder": {
+    "background_color": [
+      0.0,
+      0.0,
+      0.0
+    ],
+    "name": "splatting_cuda"
+  },
+  "encoder": {
+    "backbone": {
+      "align_corners": false,
+      "gs_param_dim": 256,
+      "gs_sh_degree": 3,
+      "head_mode": "pcd",
+      "multi_scale_list": [
+        0.0
+      ],
+      "name": "vggt",
+      "pretrained_model": null
+    },
+    "density_control": {
+      "gs_param_dim": 256,
+      "mean_dim": 32,
+      "name": "density_control_module",
+      "num_level": -1
+    },
+    "multi_scale_list": [
+      0.25,
+      0.5,
+      1.0
+    ],
+    "name": "f4splat"
+  },
+  "far": 100.0,
+  "image_size": [
+    256,
+    256
+  ],
+  "model_type": "f4splat",
+  "near": 0.1,
+  "variant": "re10k_dl3dv_2view"
+}

re10k-dl3dv-2view/conversion_report.json

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+{
+  "checkpoint": "downloaded_checkpoints/hf/Knowing_F4Splat_private_weight/outputs/full/re10k_dl3dv_2view/DL3DV_RE10k_FULL_2view/checkpoints/epoch_0-step_18750.ckpt",
+  "output_dir": "hub/f4splat/re10k-dl3dv-2view",
+  "repo_id": "Knowing/F4Splat",
+  "num_tensors": 1429,
+  "missing": [],
+  "unexpected": []
+}

re10k-dl3dv-2view/model.safetensors

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+size 4771611976