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20232026
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9 papers · 1 filter

cs.CV2026

JLD: Perceptual Distance Through A Jacobian Lens

Shreshth Saini, Balu Adsumilli, Alan C. Bovik

Image compression, restoration, and generation all require a way to measure how different two images look to a person. Pixel error ignores how people see, while the most accurate p…

cs.LG2026

MEND: RL For Flow Models via Proximal Velocity Matching

Shreshth Saini, Neil Birkbeck, Yilin Wang +2

Reward post-training of flow models either reweights the model's own samples under a KL penalty or a frozen reference, often for thousands of updates, or backpropagates the reward…

cs.CV2026

High-Fidelity Video Quality Assessment with VQA-Specific Saliency

Hakan Emre Gedik, Shashank Gupta, Alan Bovik

No-reference video quality assessment (NR VQA) has recently seen promising progress with deep learning. However, video data is inherently large, and processing them with deep model…

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

Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency

Hakan Emre Gedik, Shashank Gupta, Alan Bovik

No-reference image quality assessment (NR IQA) has recently benefited from deep and multimodal models, yet many SOTA systems still violate at least one basic requirement: they eith…

cs.AI2026

CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion

Shreshth Saini, Neil Birkbeck, Yilin Wang +2

Test-time search lets small video diffusion models rival larger ones, but costs 2-10x more. All candidates are fully denoised, although most are discarded. Training-free caching ma…

cs.CV2026

GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models

Sai Karthikey Pentapati, Shashank Gupta, Rajesh Sureddi +3

We introduce GenSP, a data-driven framework that learns consistent spherical parameterizations across a collection of genus-0 shapes. Instead of optimizing the parameterization of…

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…