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20182026
most citedSingle Image Super-Resolution via a Holistic Attention Network

85 citations · 212 across the 37 of their papers we have counts for

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49 papers · 1 filter

cs.CV2026

DocPure: Prompt-Free Unified Document Restoration via Degradation-Aware Structure-Guided Wavelet Modulation

Lingming Su, Wanglong Lu, Tao Wang +4

High-quality document images are pivotal for information archiving and downstream automatic processing. However, they are frequently compromised by diverse degradations during unco…

cs.CV20266 cited

EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution

Hanli Zhao, Binhao Wang, Shihao Zhao +3

Image super-resolution (SR) aims to reconstruct high-quality, high-resolution (HR) images from low-resolution (LR) inputs and plays a critical role in various downstream applicatio…

cs.CV2026

ResiHMR: Residual-Limb Aware Single-Image 3D Human Mesh Recovery for Individuals with Limb Loss

Jiaying Ying, Heming Du, Kaihao Zhang +2

Single-image human mesh recovery provides a compact 3D, person-centric representation that supports analysis, animation, AR and VR, rehabilitation, and human-computer interaction.…

cs.CV2026

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

Gongye Liu, Bo Yang, Yida Zhi +8

Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Model…

cs.CV2025

Fourier-RWKV: A Multi-State Perception Network for Efficient Image Dehazing

Lirong Zheng, Yanshan Li, Rui Yu +1

Image dehazing is crucial for reliable visual perception, yet it remains highly challenging under real-world non-uniform haze conditions. Although Transformer-based methods excel a…

cs.CV2025

MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image Understanding

Fan Yang, Xingping Dong, Xin Yu +3

Understanding high-resolution (HR) images remains a critical challenge for multimodal large language models (MLLMs). Recent approaches leverage vision-based retrieval-augmented gen…