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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
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+
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+ # 3D point clouds
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+ *.ply filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
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+ PhysCoRe dataset — licensing summary
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+
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+ This repository contains material under two different licenses. Check which
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+ directory a file came from before reusing it.
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+
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+ ================================================================================
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+ 1. data/phystwin/ — MIT License, Copyright (c) 2025 Hanxiao Jiang
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+ ================================================================================
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+
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+ The 14 cases under `data/phystwin/` are redistributed from the PhysTwin dataset
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+ (https://huggingface.co/datasets/Jianghanxiao/PhysTwin) under the MIT License.
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+ The `mask/` and `sampled_tracks.pkl` files in those case directories are derived
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+ from those recordings and are covered by the same terms. The full notice is also
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+ kept at `data/phystwin/LICENSE`.
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+
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+ MIT License
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+
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+ Copyright (c) 2025 Hanxiao Jiang
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
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+
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+ ================================================================================
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+ 2. Everything else — CC-BY-4.0
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+ ================================================================================
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+
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+ `data/physcore/`, `gaussian_output/`, `checkpoints/` and `configs/` are
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+ Copyright (c) 2026 Haocheng Yin and Shuohan Tao, Lunar Lab @ Georgia Tech, and
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+ are released under the Creative Commons Attribution 4.0 International license.
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+
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+ You are free to share and adapt this material for any purpose, including
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+ commercially, provided you give appropriate credit, link to the license, and
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+ indicate if changes were made.
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+
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+ Full license text: https://creativecommons.org/licenses/by/4.0/legalcode
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+ Summary: https://creativecommons.org/licenses/by/4.0/
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+
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+ Please cite the PhysCoRe paper; see the Citation section of README.md.
README.md ADDED
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+ ---
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+ license: other
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+ license_name: mixed-mit-and-cc-by-4.0
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+ license_link: LICENSE
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+ pretty_name: PhysCoRe
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+ size_categories:
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+ - 10K<n<100K
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+ task_categories:
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+ - robotics
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+ tags:
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+ - deformable-objects
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+ - robot-manipulation
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+ - material-estimation
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+ ---
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+
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+ # PhysCoRe
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+
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+ Multi-view RGB-D recordings of deformable objects being manipulated by hand, plus the
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+ trained model weights, 3D Gaussian splats and configs needed to reproduce the results in
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+ **PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable
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+ Dynamics** (CoRL 2026).
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+
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+ - Project page: https://lunarlab-gatech.github.io/PhysCoRe-website/
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+ - Paper: https://arxiv.org/abs/2607.20653
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+ - Code: https://github.com/lunarlab-gatech/PhysCoRe
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+
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+ ## Contents
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+
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+ ```
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+ data/
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+ ├── phystwin/different_types/<case>/ 14 cases, redistributed (see Licenses)
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+ └── physcore/different_types/<case>/ 12 cases, recorded by us
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+ gaussian_output/physcore/<case>/ static 3DGS scenes for the 12 physcore cases
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+ checkpoints/ MfM_checkpoint.pt, RfD_checkpoint.pt
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+ configs/ one YAML per pipeline script
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+ ```
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+
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+ Each of the 26 cases is one recording from **3 calibrated RGB-D cameras**, time-aligned:
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+
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+ | path | content |
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+ |---|---|
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+ | `calibrate.pkl` | pickled list of 3 camera-to-world 4x4 matrices |
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+ | `metadata.json` | per-camera intrinsics, image size `WH`, `frame_num`, serial numbers |
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+ | `color/{0,1,2}/<frame>.png` | RGB frames |
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+ | `color/{0,1,2}.mp4` | per-camera RGB video |
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+ | `depth/{0,1,2}/<frame>.npy` | depth frames, uint16 millimeters |
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+ | `mask/{0,1,2}/<mask_id>/<frame>.png` | object and controller segmentation |
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+ | `mask/mask_info_{0,1,2}.json` | mask id to label mapping |
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+ | `sampled_tracks.pkl` | sampled 3D tracks |
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+
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+ ## Where to start
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+
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+ Copy the contents of this repository into the root of a PhysCoRe checkout, so that
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+ `data/`, `gaussian_output/`, `checkpoints/` and `configs/` sit beside the pipeline
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+ scripts. The code repository's README walks through the stages in order and names the
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+ config each one reads.
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+
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+ Because `mask/` and `sampled_tracks.pkl` are included, you can skip the segmentation and
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+ tracking stage and go straight to building episodes with
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+ `datagen/convert3d/convert_to_episode.py`. Run that earlier stage only if you want to
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+ reproduce it; it additionally needs the SAM 2 and GroundingDINO weights, which are not
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+ redistributed here.
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+
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+ The `configs/` here carry the values used for the released results, with run directories
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+ left as `YYYYMMDD_hhmm` placeholders to be stamped at launch. Per-case controller contact
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+ radii in `per_sample_rollout_config` are scene-dependent and will need retuning for your
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+ own objects.
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+
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+ ### Confidence overlay settings, per case
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+
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+ `configs/render_MfM_confidence_3dgs.yaml` ships one example case, but the colormap ceiling
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+ has to be set per case. These are the values behind the released overlay videos, measured
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+ with `checkpoints/MfM_checkpoint.pt` on `data_episodes/physcore/<case>/episode_0000`:
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+
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+ | case | `norm_hi` | `video_frames` | contact radius |
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+ |---|---|---|---|
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+ | `double_clift_cloth` | 2.0 | 120 | 0.06 (CLI override) |
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+ | `single_clift_cloth` | 1.75 | null | 0.044 (CLI override) |
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+ | `single_clift_rope` | 2.5 | null | 0.04 |
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+ | `double_squeeze_plastic` | 2.8 | null | 0.04 |
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+ | `double_stretch_bear_1` | 15.0 | null | 0.06 |
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+ | `single_push_rope` | 2.7 | 150 | 0.02 |
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+
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+ The contact radius applies to the `validate_MfM.py` run that produces `render.traj_path`,
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+ not to the render itself. `configs/validate_MfM.yaml` already resolves to the value above
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+ for every case except the two marked *CLI override*, which need it passed on the command
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+ line:
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+
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+ ```bash
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+ python validate_MfM.py --config configs/validate_MfM.yaml \
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+ --root data_episodes/physcore/double_clift_cloth/episode_0000 \
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+ rollout.manipulation_controller_grid_contact_radius=0.06
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+ ```
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+
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+ ## Licenses
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+
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+ This repository is **mixed-license**. Check the directory before reusing anything.
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+
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+ | path | license |
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+ |---|---|
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+ | `data/phystwin/` | **MIT**, Copyright (c) 2025 Hanxiao Jiang — see `data/phystwin/LICENSE` |
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+ | `data/physcore/`, `gaussian_output/`, `checkpoints/`, `configs/` | **CC-BY-4.0**, Lunar Lab @ Georgia Tech |
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+
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+ The 14 cases under `data/phystwin/` are redistributed from the
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+ [PhysTwin dataset](https://huggingface.co/datasets/Jianghanxiao/PhysTwin) under its MIT
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+ license, which permits redistribution provided the copyright notice is retained. The
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+ `mask/` and `sampled_tracks.pkl` files in those case directories are derived from those
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+ recordings and carry the same terms. If you use them, please cite PhysTwin as well as
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+ this work.
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+
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+ ## Citation
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+
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+ We hope this dataset is useful for your research. If it contributes to your work, please
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+ consider citing:
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+
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+ ```bibtex
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+ @inproceedings{yin2026physcore,
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+ title = {PhysCoRe: Physics-Corrected Residual World Models for Material-Aware Deformable Dynamics},
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+ author = {Yin, Haocheng and Tao, Shuohan and Chen, Yongsheng and Gan, Lu},
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+ booktitle = {Conference on Robot Learning (CoRL)},
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+ series = {Proceedings of Machine Learning Research},
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+ publisher = {PMLR},
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+ year = {2026}
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+ }
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+ ```
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