This Paper Introduces DiLightNet: A Novel Artificial Intelligence Method for Exerting Fine-Grained Lighting Control during Text-Driven Diffusion-based Image Generation

Researchers from Microsoft Research Asia, Zhejiang University, College of William & Mary, and Tsinghua University recently introduced a novel method, DiLightNet, to address the challenge of fine-grained lighting control in text-driven diffusion-based image generation. The existing models can generate images from text prompts, but they often need more precise control over lighting conditions, leading to […]

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