lixiaowen-xw/DiffuEraser

DiffuEraser is a diffusion model for video inpainting, which performs great content completeness and temporal consistency while maintaining acceptable efficiency.

45
/ 100
Emerging

Builds on Stable Diffusion v1.5 with a dual-branch architecture combining a denoising UNet and auxiliary BrushNet module, integrating temporal attention mechanisms and prior conditioning to enhance temporal consistency across video frames. Leverages temporal receptive field expansion and video diffusion smoothing for long-sequence inference, with post-processing mask blending to refine inpainted regions. Available on Hugging Face and ModelScope with support for multi-resolution inference (360p–720p) and two-stage training pipeline.

625 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

625

Forks

59

Language

Python

License

Apache-2.0

Last pushed

Apr 17, 2025

Commits (30d)

0

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