Correction training reduces diffusion models' training-inference gap
A corrector refines intermediate predictions and can be distilled back into the base model.
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A corrector refines intermediate predictions and can be distilled back into the base model.
DC-SAE compresses images 32x and speeds diffusion training while beating DC-AE on ImageNet.
HamiFormer cuts Hamiltonian phase-space error using dual-expert diffusion and affine symplectic maps.
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