Media Summary: MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality. Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ...
Diffusionff Cvpr 2026 - Detailed Analysis & Overview
MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality. Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. How much do video diffusion models know about the 4D world? By introducing a 4D VAE, we jointly estimate geometry and ... Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... Joonki Min, Chaeyun Kim, Hyungwook Choi, Yejin Kim, Kihyun Kim, Yohan Jo, Joonseok Lee. Fine-Grained Multi-Image Object ... [CVPR 2026 Oral] SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models
The SAFE (Synthetic & Adversarial ForEnsics) Workshop at Hyun Lee, Hyemin Jeong, Yejin Kim, Hyungwook Choi, Hyunsoo Cho, Soo Kyung Kim, Joonseok Lee. A More Word-like Image ...
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