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20192026
most citedImplicit Transformer Network for Screen Content Image Continuous Super-Resolution

32 citations · 55 across the 32 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping

Fangpu Zhang, Huanjing Yue, Zifan Cui +3

Dual-lens super-resolution (DuSR) aims to enhance a wide-angle low-resolution (LR) image by exploiting a telephoto reference (Ref) image. A central challenge in DuSR is reliable re…

cs.CV2026

Zero-Shot Video Restoration and Enhancement with Text-to-Image Latent Diffusion Models and Multi-Modal References

Cong Cao, Huanjing Yue, Xin Liu +1

Zero-shot image restoration methods with text-to-image latent diffusion models have achieved great success in universal image restoration tasks without training. However, applying…

cs.CV2026

F2HDR: Two-Stage HDR Video Reconstruction via Flow Adapter and Physical Motion Modeling

Huanjing Yue, Dawei Li, Shaoxiong Tu +1

Reconstructing High Dynamic Range (HDR) videos from sequences of alternating-exposure Low Dynamic Range (LDR) frames remains highly challenging, especially under dynamic scenes whe…

cs.CV2026

SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras

Huanjing Yue, Shangbin Xie, Cong Cao +4

RAW images preserve superior fidelity and rich scene information compared to RGB, making them essential for tasks in challenging imaging conditions. To alleviate the high cost of d…

cs.CV2026

Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models

Cong Cao, Huanjing Yue, Shangbin Xie +2

Although diffusion-based zero-shot image restoration and enhancement methods have achieved great success, applying them to video restoration or enhancement will lead to severe temp…