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20242026
most citedSubjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

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cs.CV2026

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models

Bowen Chen, Shreshth Saini, Balu Adsumilli +1

Pretrained diffusion models generate realistic images but are constrained by the statistical biases of their training data, limiting their ability to produce high dynamic range (HD…

cs.CV2026

RUTA: Principled Visual Token Allocation via Rate-Utility Optimization

Jian Zou, Xiaoyu Xu, Zhihua Wang +3

High-resolution images and long videos provide vision-language models with rich context for multimodal reasoning and fine-grained perception, but the resulting long visual token se…

cs.CV2026

Subjective Portrait Region Cropping in Landscape Videos with Temporal Annotation Smoothing

Cheng-Han Lee, Maniratnam Mandal, Neil Birkbeck +3

With the rise of mobile video consumption on diverse handheld display resolutions and orientation modes, altering videos to aspect ratios poses challenges. Static cropping and bord…

cs.CV2026

LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers

Shreshth Saini, Hakan Gedik, Neil Birkbeck +3

The rapid adoption of HDR-capable devices has created a pressing need to convert the 8-bit Standard Dynamic Range (SDR) content into perceptually and physically accurate 10-bit Hig…

cs.CV2026

SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation

Jiongze Yu, Xiangbo Gao, Pooja Verlani +4

Video Super-Resolution (VSR) aims to restore high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference tim…

cs.CV2026

MDS-VQA: Model-Informed Data Selection for Video Quality Assessment

Jian Zou, Xiaoyu Xu, Zhihua Wang +3

Learning-based video quality assessment (VQA) has advanced rapidly, yet progress is increasingly constrained by a disconnect between model design and dataset curation. Model-centri…