NitroFusion2 brings adversarial loss to the text stream of multimodal diffusion transformers
NitroFusion2 applies adversarial distillation to the text stream of MMDiTs, enabling one-step generation of sharp text and details.
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NitroFusion2 applies adversarial distillation to the text stream of MMDiTs, enabling one-step generation of sharp text and details.
SeMo3D uses selective modeling to unify 3D tasks with region-selective denoising and Omni3DiT architecture.
MoviEdit uses cascaded bidirectional-autoregressive design and 87K training videos to outperform open-source models on video editing.
MUPA²S unified Video-ECG fusion achieves 69.58% accuracy on 58-subject dataset at half the parameters of feature-level fusion.
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