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20222026
most citedQMamba: On First Exploration of Vision Mamba for Image Quality Assessment

2 citations · 8 across the 29 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

ExeWorldBench: Benchmarking Code-Based Executable 3D World Modeling

Xinge Peng, Zhen Fang, Ruibing Wang +8

Coding agents are increasingly evolving beyond reproducing what a world looks like toward constructing executable worlds that capture how a world works. This shift calls for execut…

cs.CV2026

SpongeBob: Sync-Aware Harmonious Audio-Visual Generative Editing

Sen Liang, Cong Wang, Fengbin Guan +6

Visual and acoustic events in the physical world are inherently coupled, yet existing video editing methods typically adopt decoupled pipelines, lacking bidirectional modality inte…

cs.CV2026

IQA-Spider: Unifying Multi-Granularity Image Quality Assessment with Reasoning, Grounding and Referring

Xinge Peng, Yiting Lu, Xin Li +1

We present IQA-Spider, the first image quality assessment (IQA) framework that unifies reasoning, grounding, and referring into a single LMM-based framework for multi-granularity q…

cs.CV2026

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

Wei Luo, Yiting Lu, Xin Li +32

This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and 4D generation settings. The…

cs.CV2026

DiffCap-Bench: A Comprehensive, Challenging, Robust Benchmark for Image Difference Captioning

Yuancheng Wei, Haojie Zhang, Linli Yao +7

Image Difference Captioning (IDC) generates natural language descriptions that precisely identify differences between two images, serving as a key benchmark for fine-grained change…