Add D2DF model card

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+docs/assets/teaser.png filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,190 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or Derivative
+          Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work, excluding
+          those notices that do not pertain to any part of the Derivative
+          Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -0,0 +1,150 @@
+<div align="center">
+
+# From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting
+
+**Zizhao Chen, Ping Wei<sup>†</sup>, Guang Dai, Jingdong Wang, Mengmeng Wang<sup>†</sup>**
+
+Xi'an Jiaotong University &nbsp;·&nbsp; SGIT AI Lab &nbsp;·&nbsp;
+Zhejiang University of Technology &nbsp;·&nbsp; Baidu
+
+<sup>†</sup> Corresponding authors
+
+<a href="https://bigd233.github.io/D2DF/"><img src="https://img.shields.io/badge/Project-Page-4d45b8?logo=googlechrome&logoColor=white" alt="Project Page"></a>
+<a href="https://bigd233.github.io/D2DF/paper.pdf"><img src="https://img.shields.io/badge/arXiv-Paper-b31b1b?logo=arxiv&logoColor=white" alt="arXiv Paper"></a>
+<a href="https://huggingface.co/BigD233333/D2DF"><img src="https://img.shields.io/badge/%F0%9F%A4%97-Hugging_Face-FFD21E" alt="Hugging Face"></a>
+
+</div>
+
+<p align="center">
+  <img src="docs/assets/teaser.png" alt="Overview of the D2DF framework" width="100%">
+</p>
+
+**D2DF** is a three-stage framework for one-step video object removal. It first
+distills a multi-step draft-guided diffusion teacher into **D2DF-DG**, a one-step
+draft refiner, through **Prior-Privileged Consistency Distillation (PPCD)**. It then
+uses the lightweight **Self-Guided Fast Planting (SGFP)** module to construct
+pseudo-drafts in latent space, producing **D2DF-DF**, a fully draft-free one-step
+generator.
+
+This repository provides standalone inference code for both D2DF-DF and D2DF-DG
+using the official Hugging Face `diffusers` and `transformers` packages.
+
+## Installation
+
+```bash
+git clone https://github.com/bigD233/D2DF.git
+cd D2DF
+pip install -r requirements.txt
+```
+
+We recommend Python 3.11 and an NVIDIA GPU with CUDA support. The released
+inference code was tested with PyTorch 2.8, CUDA 12.8, `diffusers >= 0.32`, and
+`transformers >= 4.44`.
+
+## Model Weights
+
+Download the base **CogVideoX-5B-I2V** model from its
+[official Hugging Face repository](https://huggingface.co/zai-org/CogVideoX-5b-I2V).
+
+Download the **D2DF-DF** and **D2DF-DG** checkpoints from our
+[D2DF Hugging Face repository](https://huggingface.co/BigD233333/D2DF). After
+extracting the downloaded archives, pass the corresponding directories to
+`--transformer_path`.
+
+The included `prompt_embeds.pt` stores the pre-computed embedding for the prompt
+`"background"`, so the T5 encoder does not need to be loaded during normal
+inference.
+
+## Input Format
+
+Prepare the input as directories of numbered image files:
+
+```text
+inputs/
+├── imgs/
+│   ├── 00000.jpg
+│   ├── 00001.jpg
+│   └── ...
+├── mask/
+│   ├── 00000.png
+│   ├── 00001.png
+│   └── ...
+└── drafts/                 # required only by D2DF-DG
+    ├── 00000.jpg
+    ├── 00001.jpg
+    └── ...
+```
+
+- The GitHub repository includes this ready-to-run 25-frame example under `inputs/`.
+- Frames, masks, and drafts are read in filename order.
+- Mask pixels belonging to the removal target should have value `255` by default.
+- Inputs are resized to the requested output resolution.
+- The default setting uses 25 frames at 480 x 720 resolution.
+
+## Inference
+
+### D2DF-DF: Draft-Free One-Step Removal
+
+No external draft is required:
+
+```bash
+python infer.py \
+  --mode df \
+  --base_model_path <PATH_TO_COGVIDEOX_5B_I2V> \
+  --transformer_path <PATH_TO_D2DF_DF> \
+  --frames_dir inputs/imgs \
+  --mask_dir inputs/mask \
+  --output_dir outputs/I-210910_I09032_T04_df \
+  --num_frames 25 \
+  --height 480 \
+  --width 720
+```
+
+### D2DF-DG: Draft-Guided One-Step Refinement
+
+Supply a draft produced by a video object removal method such as ProPainter:
+
+```bash
+python infer.py \
+  --mode dg \
+  --base_model_path <PATH_TO_COGVIDEOX_5B_I2V> \
+  --transformer_path <PATH_TO_D2DF_DG> \
+  --frames_dir inputs/imgs \
+  --mask_dir inputs/mask \
+  --draft_dir inputs/drafts \
+  --output_dir outputs/I-210910_I09032_T04_dg \
+  --num_frames 25 \
+  --height 480 \
+  --width 720
+```
+
+The default configuration performs one denoising step with
+`guidance_scale=1.0`. The output directory contains an MP4 video and a GIF
+preview. Add `--save_frames` to also save individual PNG frames.
+
+## Citation
+
+```bibtex
+@misc{chen2026d2df,
+  title={From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting},
+  author={Zizhao Chen and Ping Wei and Guang Dai and Jingdong Wang and Mengmeng Wang},
+  year={2026}
+}
+```
+
+## Acknowledgements
+
+Our implementation is built upon
+[CogVideoX](https://github.com/THUDM/CogVideo),
+[Hugging Face Diffusers](https://github.com/huggingface/diffusers), and
+[ProPainter](https://github.com/sczhou/ProPainter). We sincerely thank the
+contributors of these projects for their excellent work.
+
+## License
+
+This repository is released under the [Apache License 2.0](LICENSE).
+
+## Contact
+
+For questions about this work, please contact
+[Zizhao Chen](mailto:bigd_chen@stu.xjtu.edu.cn).