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20232026
most citedPrecise Object and Effect Removal with Adaptive Target-Aware Attention

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion

Jiawei Guo, Junxian Li, Yixin Tang +4

Recently, diffusion-based removal methods have achieved promising visual quality in removing both target objects and their associated effects. However, they typically rely on multi…

cs.CV2026

FlashClear: Ultra-Fast Image Content Removal via Efficient Step Distillation and Feature Caching

Yixin Tang, Jiawei Guo, Junxian Li +6

Recently, diffusion-based object removal models have achieved impressive results in eliminating objects and their associated visual effects. However, they indiscriminately denoise…

cs.CV2026

Linear Image Generation by Synthesizing Exposure Brackets

Yuekun Dai, Zhoutong Zhang, Shangchen Zhou +1

The life of a photo begins with photons striking the sensor, whose signals are passed through a sophisticated image signal processing (ISP) pipeline to produce a display-referred i…

cs.CV2026

PnP-U3D: Plug-and-Play 3D Framework Bridging Autoregression and Diffusion for Unified Understanding and Generation

Yongwei Chen, Tianyi Wei, Yushi Lan +4

The rapid progress of large multimodal models has inspired efforts toward unified frameworks that couple understanding and generation. While such paradigms have shown remarkable su…

cs.CV2026

4RC: 4D Reconstruction via Conditional Querying Anytime and Anywhere

Yihang Luo, Shangchen Zhou, Yushi Lan +2

We present 4RC, a unified feed-forward framework for 4D reconstruction from monocular videos. Unlike existing approaches that typically decouple motion from geometry or produce lim…

cs.CV2026

Zoom-IQA: Image Quality Assessment with Reliable Region-Aware Reasoning

Guoqiang Liang, Jianyi Wang, Zhonghua Wu +2

Image Quality Assessment (IQA) is a long-standing problem in computer vision. Previous methods typically focus on predicting numerical scores without explanation or providing low-l…