Hugging Face Trending Papers

HIVE-Diff: High Frame Rate HDR Video Reconstruction from a Single LDR Frame and Events

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HIVE-Diff is an event-conditioned video diffusion framework that reconstructs high‑frame‑rate HDR video from a single low‑dynamic‑range (LDR) reference frame and event data. It separates the task into event‑guided temporal generation and HDR content completion, enabling the creation of multiple HDR frames from one LDR observation. The model is trained on synthetic data and adapted to real events using teacher‑student distillation with LDR‑event sequences as proxy supervision, achieving strong reconstruction quality across synthetic and real datasets.

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arXiv AI
Sep 2

DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models

arXiv:2604.06161v3 Announce Type: replace-cross Abstract: Most digital videos are stored in 8-bit low dynamic range (LDR) formats, where much of the original high dynamic range (HDR) scene radiance i...

By Zhengming Yu, Li Ma, Mingming He, Leo Isikdogan, Yuancheng Xu, Dmitriy Smirnov, Pablo Salamanca, Dao Mi, Pablo Delgado, Ning Yu, Julien Philip, Xin Li, Wenping Wang, Paul Debevec
Hugging Face Trending Papers
Jun 28

EvLIR: Learning Illumination Residuals from Ordered Events for Low-Light Image Enhancement

Low-light image enhancement is severely ill-posed when the input frame contains missing structure, saturated noise, and weak local contrast. Event cameras provide asynchronous brightness-change observations with high temporal resolution, but prior works often treat voxel channels as an unordered or static feature stack before fusion, rather than explicitly modeling their within-window temporal evolution, weakening the temporal evidence that makes events useful.