activity
20232026
most citedTowards High-quality HDR Deghosting with Conditional Diffusion Models

17 citations · 23 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution

Axi Niu, Kang Zhang, Qingsen Yan +3

Scene Text Image Super-Resolution (STISR) aims to restore high-resolution details in low-resolution text images, which is crucial for both human readability and machine recognition…

cs.CV2025

Boosting HDR Image Reconstruction via Semantic Knowledge Transfer

Tao Hu, Longyao Wu, Wei Dong +5

Recovering High Dynamic Range (HDR) images from multiple Standard Dynamic Range (SDR) images become challenging when the SDR images exhibit noticeable degradation and missing conte…

cs.CV2025

HVI: A New Color Space for Low-light Image Enhancement

Qingsen Yan, Yixu Feng, Cheng Zhang +6

Low-Light Image Enhancement (LLIE) is a crucial computer vision task that aims to restore detailed visual information from corrupted low-light images. Many existing LLIE methods ar…

cs.CV2025

C-Drag: Chain-of-Thought Driven Motion Controller for Video Generation

Yuhao Li, Mirana Claire Angel, Salman Khan +4

Trajectory-based motion control has emerged as an intuitive and efficient approach for controllable video generation. However, the existing trajectory-based approaches are usually…

cs.CV20241 cited

UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation

Cheng Zhang, Dong Gong, Jiumei He +3

Existing unified methods typically treat multi-degradation image restoration as a multi-task learning problem. Despite performing effectively compared to single degradation restora…