Continuous bitstream diffusion enables multimodal co-generation without per-modality calibration
LucaAmb · x · 2026-10-15
Luca Ambrogioni et al. shared "Multimodal Co-Generation With Continuous Bitstream Diffusion," extending bitstream diffusion beyond language to many modalities. Authors span Devotion AI Labs, Cambridge, Oxford, NVIDIA, and UPenn. The method trains reliably across modalities without modality-specific calibration; demos include text-image joint generation (99.46% mutual consistency) and protein structure generation up to 500 residues (scTM 0.96-0.98).
Related event: Continuous Bitstream Diffusion Unifies Multimodal Co-Generation(2 posts)→
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