Papers
arxiv:2506.03150

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation

Published on Jun 3
· Submitted by Yuanze on Jun 5
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Abstract

IllumiCraft integrates geometric cues in a diffusion framework to generate high-fidelity, temporally coherent videos from textual or image inputs.

AI-generated summary

Although diffusion-based models can generate high-quality and high-resolution video sequences from textual or image inputs, they lack explicit integration of geometric cues when controlling scene lighting and visual appearance across frames. To address this limitation, we propose IllumiCraft, an end-to-end diffusion framework accepting three complementary inputs: (1) high-dynamic-range (HDR) video maps for detailed lighting control; (2) synthetically relit frames with randomized illumination changes (optionally paired with a static background reference image) to provide appearance cues; and (3) 3D point tracks that capture precise 3D geometry information. By integrating the lighting, appearance, and geometry cues within a unified diffusion architecture, IllumiCraft generates temporally coherent videos aligned with user-defined prompts. It supports background-conditioned and text-conditioned video relighting and provides better fidelity than existing controllable video generation methods. Project Page: https://yuanze-lin.me/IllumiCraft_page

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Paper submitter

We propose a unified diffusion architecture that jointly incorporates illumination and geometry
guidance, enabling high-quality video relighting. It supports text-conditioned and background-conditioned relighting for videos.

Paper submitter
edited 1 day ago

Project Page: https://yuanze-lin.me/IllumiCraft_page/
GitHub Page: https://github.com/yuanze-lin/IllumiCraft
Youtube Video: https://www.youtube.com/watch?v=qAV58sADEzo

For more controllable video generation results, please check our project page.

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