IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
This addresses the need for more precise control over scene lighting and appearance in video generation for applications like visual effects and virtual reality, representing a novel method for a known bottleneck.
The paper tackles the problem of generating controllable videos with explicit geometric and lighting cues by proposing IllumiCraft, an end-to-end diffusion framework that integrates HDR video maps, relit frames, and 3D point tracks, resulting in temporally coherent videos with better fidelity than existing methods.
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