LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers
Paper • 2604.02787 • Published
Diffusion Research
Research work on Guidance and test-time search for diffusion models, efficient sampling, post-training, RL, perceptual quality,HDR-UGC video quality,
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Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos
Paper • 2603.00938 • Published -
GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment
Paper • 2605.01272 • Published -
CHUG: Crowdsourced User-Generated HDR Video Quality Dataset
Paper • 2510.09879 • Published -
shreshthsaini/Beyond8Bits
Viewer • Updated • 47.4k • 149 -
shreshthsaini/BrightVQ
Viewer • Updated • 2.1k • 128 -
shreshthsaini/CHUG
Viewer • Updated • 5.99k • 111 -
shreshthsaini/LumaFlux
Image-to-Image • Updated -
shreshthsaini/brightrate-lm-7b-sdr
Image-Text-to-Text • Updated • 9 -
shreshthsaini/brightrate-lm-7b-multiexposure
Image-Text-to-Text • Updated • 9 -
CachedSearch: Training-Free Cached Exploration for Test-Time Search in Video Diffusion
Paper • 2607.23159 • Published -
Rectified-CFG++ for Flow Based Models
Paper • 2510.07631 • Published -
LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models
Paper • 2607.26237 • Published -
Latent Guidance in Diffusion Models for Perceptual Evaluations
Paper • 2506.00327 • Published -
HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment
Paper • 2311.11059 • Published -
shreshthsaini/LumaGuide
Text-to-Image • Updated
MEND: RL For Flow Models via Proximal Velocity Matching
Paper • 2610.05954 • Published • 3Note MEND: RL for Flow Models via Proximal Velocity Matching. Official code, weights, project page and blog: https://github.com/shreshthsaini/MEND-RL ; models: https://huggingface.co/collections/shreshthsaini/mend-rl-for-flow-models-via-proximal-velocity-matching-6ac5d201a2821178270f97ce