IGG, an attention-based reweighting of classifier-free guidance, concentrates guidance on important tokens and modestly improves FID/IS in scale-wise autoregressive image generation.
Entropy- Driven Sampling and Training Scheme for Conditional Diffusion Generation
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Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
IGG, an attention-based reweighting of classifier-free guidance, concentrates guidance on important tokens and modestly improves FID/IS in scale-wise autoregressive image generation.