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20222026
most citedActivating More Pixels in Image Super-Resolution Transformer

55 citations · 65 across the 14 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

StableI2I: Spotting Unintended Changes in Image-to-Image Transition

Jiayang Li, Shuo Cao, Xiaohui Li +6

In most real-world image-to-image (I2I) scenarios, existing evaluations primarily focus on instruction following and the perceptual quality or aesthetics of the generated images. H…

cs.CV2026

Accelerating Masked Image Generation by Learning Controlled Latent Dynamics

Kaiwen Zhu, Quansheng Zeng, Yuandong Pu +9

Masked Image Generation Models (MIGMs) have achieved great success, yet their efficiency is hampered by the multiple steps of bi-directional attention. In fact, there exists notabl…

cs.CV2025

UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture

Shuo Cao, Jiayang Li, Xiaohui Li +12

Multimodal large language models (MLLMs) have achieved remarkable progress in visual understanding tasks such as visual grounding, segmentation, and captioning. However, their abil…

cs.CV2025

PICABench: How Far Are We from Physically Realistic Image Editing?

Yuandong Pu, Le Zhuo, Songhao Han +10

Image editing has achieved remarkable progress recently. Modern editing models could already follow complex instructions to manipulate the original content. However, beyond complet…

cs.CV2025

ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding

Shuo Cao, Nan Ma, Jiayang Li +12

The rapid advancement of educational applications, artistic creation, and AI-generated content (AIGC) technologies has substantially increased practical requirements for comprehens…

cs.CV2025

Exploring Scalable Unified Modeling for General Low-Level Vision

Xiangyu Chen, Kaiwen Zhu, Yuandong Pu +7

Low-level vision involves a wide spectrum of tasks, including image restoration, enhancement, stylization, and feature extraction, which differ significantly in both task formulati…