Media Summary: Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. 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 When token pruning is worse than random: Understanding visual token information in VLLMs
Cvpr 2026 Pluggable Pruning With - Detailed Analysis & Overview
Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. 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 When token pruning is worse than random: Understanding visual token information in VLLMs ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers. [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers Title: Scene-Centric Unsupervised Video Panoptic Segmentation Authors: Christoph Reich*, Oliver Hahn*, Nikita Araslanov, ...
[CVPR 2026] Geometry-Guided 3D Visual Token Pruning for Video-Language Models [CVPR 2026] VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction
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