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A frozen pixel diffusion model can self-guide its generation process using its own samples, achieving over 50% improvement in image quality with minimal additional compute.
Achieving photorealistic 3D human avatars from a single image in under a second could revolutionize virtual reality and gaming applications.
Achieve SOTA detail-preserving human-product image generation by using a new attention mechanism and loss function, trained on a new large-scale dataset.
