Media Summary: [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... Even when you tell a diffusion model to "do nothing", it still changes your image. We call this No-Op Drift, and we prove it's not a ...
Cvpr 2026 Pluggable Pruning With - Detailed Analysis & Overview
[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... Even when you tell a diffusion model to "do nothing", it still changes your image. We call this No-Op Drift, and we prove it's not a ... Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ... MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality. SparVAR: Exploring Sparsity in Visual AutoRegressive Modeling for Training-Free Acceleration (
Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning. The paper is accepted by Tuna: Taming Unified Visual Representations for Native Unified Multimodal Models. This is the second version of the mmWaveFlow video. Future updates may follow. Any suggestions are welcome. Code coming ...
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