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Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho, Chitwan Saharia, William Chan +3
We show that cascaded diffusion models are capable of generating high fidelity images on the class-conditional ImageNet generation benchmark, without any assistance from auxiliary…
Agent-Centric Representations for Multi-Agent Reinforcement Learning
Wenling Shang, Lasse Espeholt, Anton Raichuk +1
Object-centric representations have recently enabled significant progress in tackling relational reasoning tasks. By building a strong object-centric inductive bias into neural arc…
Image Super-Resolution via Iterative Refinement
Chitwan Saharia, Jonathan Ho, William Chan +3
We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising diffusion probabilistic models to conditional image generation and performs supe…