Groups of generated images become more diverse while staying high-quality when K outputs are chosen from M candidates via a quadratic integer program with progressive pruning.
Diffusion models beat GANs on image synthesis
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Scaling Group Inference for Diverse and High-Quality Generation
Groups of generated images become more diverse while staying high-quality when K outputs are chosen from M candidates via a quadratic integer program with progressive pruning.