Idea
A controllable video generation platform enabling precise lighting, appearance, and geometry editing for filmmakers and content creators.
Research Paper
Core Innovation
This paper presents IllumiCraft, a unified diffusion model that combines high-dynamic-range video maps, synthetic relighting, and 3D point tracking to produce temporally coherent videos. Unlike prior methods, it enables precise control over lighting, appearance, and geometry in a single end-to-end framework. It supports both background-conditioned and text-conditioned video relighting with improved fidelity.
Market Size (TAM)
$2–10B TAM, $500M–$1B SAM; assumption: growing demand for advanced video editing and virtual production tools.
Potential Customers & Pain Points
- Filmmakers needing realistic video relighting
- Content creators requiring precise video appearance control
- Game developers seeking dynamic lighting effects
- Advertising agencies wanting customizable video assets
- Virtual production studios needing integrated geometry and illumination editing
Business Model
Subscription-based SaaS platform with tiered pricing for individual creators, studios, and enterprises; API access for integration with third-party tools.
Competitive Landscape
- Runway ML
- Synthesia
- DeepMotion
Implementation Challenges
- High computational requirements for real-time processing
- Complex integration with existing video production pipelines
- User adoption due to learning curve for advanced controls
Validation Strategy
- Develop prototype demonstrating controllable video relighting
- Partner with content creators for pilot testing
- Collect user feedback to refine UI and performance
Research Paper Overview
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
Summary
IllumiCraft is an end-to-end diffusion framework that integrates high-dynamic-range video maps, synthetically relit frames, and 3D point tracks to generate temporally coherent videos with precise control over lighting, appearance, and geometry. It supports background-conditioned and text-conditioned video relighting, achieving better fidelity than existing controllable video generation methods.