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cs.CV2026

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

Bowen Chen, Shreshth Saini, Balu Adsumilli +1

LumaGuide is a training‑free framework that steers the sampling of pretrained diffusion models by matching target luminance distributions, enabling high dynamic range (HDR) image g…

cs.CV2026

GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment

Rajesh Sureddi, Shreshth Saini, Avinab Saha +1

The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To support quality assessment models that work co…

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

Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos

Shreshth Saini, Bowen Chen, Neil Birkbeck +3

High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored t…

cs.CV2025

CHUG: Crowdsourced User-Generated HDR Video Quality Dataset

Shreshth Saini, Alan C. Bovik, Neil Birkbeck +2

High Dynamic Range (HDR) videos enhance visual experiences with superior brightness, contrast, and color depth. The surge of User-Generated Content (UGC) on platforms like YouTube…

cs.CV2025

Rectified-CFG++ for Flow Based Models

Shreshth Saini, Shashank Gupta, Alan C. Bovik

Classifier-free guidance (CFG) is the workhorse for steering large diffusion models toward text-conditioned targets, yet its native application to rectified flow (RF) based models…