4 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…
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
Siyu Chen, Ting Han, Changshe Zhang +4
Vision Foundation Models (VFMs) have delivered remarkable performance in Domain Generalized Semantic Segmentation (DGSS). However, recent methods often overlook the fact that visua…
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…