Light Control Diffusion Models: Transforming Image Editing with AI Precision

LightLab: A Comprehensive Guide to Controlling Light Sources in Images Using Diffusion Models 1. Technical Principles and Innovations 1.1 Core Architecture Design LightLab leverages a modified Latent Diffusion Model (LDM) architecture with three groundbreaking components: Dual-Domain Data Fusion: Combines 600 real RAW image pairs (augmented to 36K samples) with 16K synthetic renders (augmented to 600K samples) Linear Light Decomposition: Implements the physics-based formula: $\mathbf{i}_{\text{relit}} = \alpha \mathbf{i}_{\text{amb}} + \gamma \mathbf{i}_{\text{change}}\mathbf{c}$ Adaptive Tone Mapping: Solves HDR→SDR conversion challenges through exposure bracketing strategies Key Technical Specifications: Training Resolution: 1024×1024 Batch Size: 128 Learning Rate: 1e-5 Training Duration: 45,000 steps (~12 hours on …