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20242026
most citedParameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark

16 citations · 16 across the 15 of their papers we have counts for

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cs.CV2026

Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution

Ao Li, Yapeng Du, Yi Xin +5

Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-leve…

cs.CV2026

From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation

Baixuan Zhao, Xinyu Zhang, Huayu Zheng +4

While controllable image generation has made significant strides by incorporating visual reference conditions, existing methods predominantly operate as open-loop systems. They inj…

cs.CV2026

Efficient One-Step Diffusion Restoration Model with Compact Token Compression and Linear Attention

Bingtian Qiao, Yue Shi, Yingjie Zhou +3

Real-world image super-resolution aims to recover high-quality images from complex and unknown real-world degradations. However, existing generative Real-ISR methods largely inheri…

cs.CV2026

A2BFR: Attribute-Aware Blind Face Restoration

Chenxin Zhu, Yushun Fang, Lu Liu +5

Blind face restoration (BFR) aims to recover high-quality facial images from degraded inputs, yet its inherently ill-posed nature leads to ambiguous and uncontrollable solutions. R…

cs.CV2026

A-Edit: Precise Reference-Guided Image Editing of Arbitrary Objects and Ambiguous Masks

Huayu Zheng, Guangzhao Li, Baixuan Zhao +4

We propose A^2-Edit, a unified inpainting framework for arbitrary object categories, which allows users to replace any target region with a reference object using only a coarse mas…

cs.CV2026

FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal

Telang Xu, Chaoyang Zhang, Guangtao Zhai +1

Single image reflection removal (SIRR) is challenging in real scenes, where reflection strength varies spatially and reflection patterns are tightly entangled with transmission str…