Tiny on-surface point perturbations trigger a bifurcation in the reverse diffusion process of 3D transformers, localized to a low-rank cross-attention write that can be reshaped at test time to suppress the failure.
The latent grid is then modeled by a 32-layer U-ViT (stage 2), where each transformer layer runs self-attention and cross-attention, totaling 32 cross-attention calls
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Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers
Tiny on-surface point perturbations trigger a bifurcation in the reverse diffusion process of 3D transformers, localized to a low-rank cross-attention write that can be reshaped at test time to suppress the failure.