4 papers
EvalVerse: Pipeline-Aware and Expert-Calibrated Benchmarking for Professional Cinematic Video Generation
Songlin Yang, Haobin Zhong, Ruilin Zhang +23
The rapid evolution of generative video foundation models has propelled the field toward professional-grade cinematic synthesis. To achieve such demanding quality, the community tr…
Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models
Conghan Yue, Zhengwei Peng, Shiyan Du +4
While many diffusion models perform well when controlling particular aspects such as style, character, and interaction, they struggle with fine-grained control due to dataset limit…
Enhanced Control for Diffusion Bridge in Image Restoration
Conghan Yue, Zhengwei Peng, Junlong Ma +1
Image restoration refers to the process of restoring a damaged low-quality image back to its corresponding high-quality image. Typically, we use convolutional neural networks to di…
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Conghan Yue, Zhengwei Peng, Junlong Ma +3
Diffusion models exhibit powerful generative capabilities enabling noise mapping to data via reverse stochastic differential equations. However, in image restoration, the focus is…