| --- |
| language: |
| - en |
| license: apache-2.0 |
| tags: |
| - image-to-video |
| - video-generation |
| - identity-preservation |
| - view-consistency |
| - diffusion |
| - consid-gen |
| pipeline_tag: image-to-video |
| library_name: diffsynth |
| --- |
| |
| # ConsID-Gen |
|
|
| **ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation** |
|
|
| Mingyang Wu, Ashirbad Mishra, Soumik Dey, Shuo Xing, Naveen Ravipati, Hansi Wu, Binbin Li, Zhengzhong Tu (2026) |
| Accepted by **CVPR 2026**. |
|
|
| ## Summary |
|
|
| This repository contains the model checkpoint for our paper: |
|
|
| **ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation**. |
|
|
| ConsID-Gen focuses on generating videos that maintain: |
|
|
| - strong identity preservation, |
| - cross-view consistency, |
| - temporal coherence. |
|
|
| ## Files |
|
|
| - `model.safetensors`: Main model checkpoint. |
|
|
| ## Usage |
|
|
| Please refer to the project scripts for training/inference entry points (for example `run_train_considgen.py` and `run_inference_considgen.py`) and adapt paths/configs to your environment. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{wu2026considgenviewconsistentidentitypreservingimagetovideo, |
| title={ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation}, |
| author={Mingyang Wu and Ashirbad Mishra and Soumik Dey and Shuo Xing and Naveen Ravipati and Hansi Wu and Binbin Li and Zhengzhong Tu}, |
| year={2026}, |
| eprint={2602.10113}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2602.10113}, |
| } |
| ``` |
|
|
