Upload GeometryForcing files

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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DFoT_16f_state_dict.ckpt

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README.md

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----
-license: mit
----
+<div align="center">
+
+<h1>Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling </h1>
+<a href="https://www.arxiv.org/abs/2507.07982">
+<img src='https://img.shields.io/badge/arxiv-geometryforcing-darkred' alt='Paper PDF'></a>
+<a href="https://geometryforcing.github.io/">
+<img src='https://img.shields.io/badge/Project-Website-orange' alt='Project Page'></a>
+
+
+[Haoyu Wu](https://cintellifusion.github.io/)$^{1*}$, Diankun Wu $^{2*}$, Tianyu He $^{1†}$, Junliang Guo $^{1}$, Yang Ye $^{1}$, Yueqi Duan $^{2}$, Jiang Bian $^{1}$
+
+$^1$ Microsoft Research $^2$ Tsinghua University
+
+($^*$ Equal Contribution. † Project Lead)
+
+</div>
+
+# Reference 
+
+```
+@article{wu2025geometryforcing,
+  title={Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling},
+  author={Wu, Haoyu and Wu, Diankun and He, Tianyu and Guo, Junliang and Ye, Yang and Duan, Yueqi and Bian, Jiang},
+  journal={arXiv preprint arXiv:2507.07982},
+  year={2025}
+}
+```
+
+<!-- include asset/main.png -->
+
+# Overview 
+![](main.png)
+**Geometry Forcing (GF) Overview.**
+(a) Our proposed GF paradigm enhances video diffusion models by aligning with geometric features from VGGT~\citep{wang2025vggt}. 
+(b) Compared to DFoT~\citep{dfot}, our method generates more temporally and geometrically consistent videos. 
+(c) While baseline features fail to reconstruct meaningful 3D geometry, GF-learned features enable accurate 3D reconstruction.
+
+# 🚀News
+
+- [2025/9/24] We release code and checkpoint.
+- [2025/9/22] [Geometry Forcing](https://geometryforcing.github.io/) is accepted to [NeurIPS 2025 NextVid Workshop](https://what-makes-good-video.github.io/) as an Oral!
+- [2025/7/10] We release the paper and the project. 
+
+# 💪Get Started 
+
+## Setup Environments 
+
+```shell
+conda create -n geometryforcing python=3.10 -y
+conda activate geometryforcing
+pip install -r requirements.txt
+```
+
+## Connect to Weights & Biases:
+
+We use Weights & Biases for logging. [Sign up](https://wandb.ai/login?signup=true) if you don't have an account, and *modify `wandb.entity` in `config.yaml` to your user/organization name*.
+
+## Download Checkpoints and Data
+1. Download pretrained checkpiont using huggingface: 
+```shell
+bash scripts/hf_download_checkpoints.sh
+```
+
+
+2. Download pretrained checkpiont using modelscope: 
+
+```shell
+bash scripts/ms_download_checkpoints.sh
+```
+
+3. Download and process RealEstate10k dataset to  `data/real-estate-10k`
+
+## Generating Videos with Pretrained Models
+
+### 1. Single Image to Long Video (256 Frames):
+
+```shell
+bash scripts/eval_geometry_forcing.sh
+```
+
+### 2. Single Image to Rotation Video (16 Frames):
+
+```shell
+bash scripts/eval_geometry_forcing_rotation.sh
+```
+
+## Training Geometry Forcing
+
+```shell
+bash scripts/train_geometry_forcing.sh
+```

geometry_forcing_state_dict.ckpt

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geometry_forcing_with_dino_state_dict.ckpt

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