5 papers
When Schrödinger Bridge Meets Real-World Image Dehazing with Unpaired Training
Yunwei Lan, Zhigao Cui, Xin Luo +5
Recent advancements in unpaired dehazing, particularly those using GANs, show promising performance in processing real-world hazy images. However, these methods tend to face limita…
Latent Posterior-Mean Rectified Flow for Higher-Fidelity Perceptual Face Restoration
Xin Luo, Menglin Zhang, Yunwei Lan +4
The Perception-Distortion tradeoff (PD-tradeoff) theory suggests that face restoration algorithms must balance perceptual quality and fidelity. To achieve minimal distortion while…
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
Yunwei Lan, Zhigao Cui, Chang Liu +4
Unpaired training has been verified as one of the most effective paradigms for real scene dehazing by learning from unpaired real-world hazy and clear images. Although numerous stu…
NeRF Inpainting with Geometric Diffusion Prior and Balanced Score Distillation
Menglin Zhang, Xin Luo, Yunwei Lan +5
Recent advances in NeRF inpainting have leveraged pretrained diffusion models to enhance performance. However, these methods often yield suboptimal results due to their ineffective…
StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
Chang Liu, Rui Li, Kaidong Zhang +2
Recent advancements of generative AI have significantly promoted content creation and editing, where prevailing studies further extend this exciting progress to video editing. In d…