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From the 1 of 9 linked papers with an AI index.

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9 papers

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.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

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.LG2026

TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models

Shreshth Saini, Avinab Saha, Balu Adsumilli +3

Masked Diffusion Models (MDMs) have emerged as a promising non-autoregressive paradigm for generative tasks, offering parallel decoding and bidirectional context utilization. Howev…