mlsanityData to 7 Oct 2026

Hi-Light: A Path to high-fidelity, high-resolution video relighting with a Novel Evaluation Paradigm

arXiv 2601.23167 ↗First posted 30 Jan 2026cs.CVcited by 0

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Abstract (arXiv)

Video relighting offers immense creative potential and commercial value but is hindered by challenges, including the absence of an adequate evaluation metric, severe light flickering, and the degradation of fine-grained details during editing. To overcome these challenges, we introduce Hi-Light, a novel, training-free framework for high-fidelity, high-resolution, robust video relighting. Our approach introduces three technical innovations: lightness prior anchored guided relighting diffusion that stabilises intermediate relit video, a Hybrid Motion-Adaptive Lighting Smoothing Filter that leverages optical flow to ensure temporal stability without introducing motion blur, and a LAB-based Detail Fusion module that preserves high-frequency detail information from the original video. Furthermore, to address the critical gap in evaluation, we propose the Light Stability Score, the first quantitative metric designed to specifically measure lighting consistency. Extensive experiments demonstrate that Hi-Light significantly outperforms state-of-the-art methods in both qualitative and quantitative comparisons, producing stable, highly detailed relit videos.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 19 references that are in the map. First posted on arXiv 30 Jan 2026.

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12 of 19 references.

References · 12

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2025Wan: Open and Advanced Large-Scale Video Generative Modelscited by 2,536
  3. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  4. 2024CogVideoX: Text-to-Video Diffusion Models with An Expert Transformercited by 2,198
  5. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,755
  6. 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuningcited by 1,418
  7. 2019Learning Physics-guided Face Relighting under Directional Lightcited by 90
  8. 2024SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relightingcited by 66
  9. 2025Light-A-Video: Training-free Video Relighting via Progressive Light Fusioncited by 38
  10. 2022SunStage: Portrait Reconstruction and Relighting using the Sun as a Light Stagecited by 30
  11. 2025TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfercited by 11
  12. 2025IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generationcited by 6

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