Dataset · Hugging Face

SHlNDY/HDR-NSFF

Name: HDR-NSFF
Creator: SHlNDY
License: cc-by-4.0
Keywords: task_categories:video-to-video, task_categories:other, license:cc-by-4.0, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2603.08313, region:us, HDR, HDR-video, dynamic-scene, 4D-reconstruction, novel-view-synthesis

HDR-NSFF: HDR-GoPro Dataset Paper: HDR-NSFF: Neural Scene Flow Fields for Dynamic HDR Radiance Fields — ICLR 2026 Project Page: https://shin-dong-yeon.github.io/HDR-NSFF/ GitHub: https://github.com/kaist-ami/HDR-NSFF Authors: Shin Dong-Yeon, Kim Jun-Seong, Kwon Byung-Ki, Tae-Hyun Oh Abstract We present HDR-NSFF, a method for reconstructing dynamic 4D scenes with HDR video rendering from multi-exposure monocular video. Our approach extends Neural Scene Flow Fields… See the full description on the dataset page: https://huggingface.co/datasets/SHlNDY/HDR-NSFF.

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Author / organization	SHlNDY
License (as declared)	cc-by-4.0
Downloads	3.4K (as reported by Hugging Face)
Likes	0
Created	19 April 2026
Last updated at source	17 June 2026

HDRHDR-videodynamic-scene4D-reconstructionnovel-view-synthesisnerfscene-flowgopromulti-exposureICLR2026

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HDR-NSFF: High Dynamic Range Neural Scene Flow FieldsPaper · cites

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HDR-NSFF: High Dynamic Range Neural Scene Flow FieldsPaper

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