Media Summary: [CVPR 2026] CoLoR: The Devil is in Scene Coordinate Regression for Large-Scale Visual Localization [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers [CVPR 2026] FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
Cvpr 2026 Delta Rectified Flow - Detailed Analysis & Overview
[CVPR 2026] CoLoR: The Devil is in Scene Coordinate Regression for Large-Scale Visual Localization [CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers [CVPR 2026] FlowMotion: Training-Free Flow Guidance for Video Motion Transfer This is the second version of the mmWaveFlow video. Future updates may follow. Any suggestions are welcome. Code coming ... Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity.
[CVPR 2026] PR-MaGIC: Prompt Refinement via Mask Decoder Gradient Flow for In-Context Segmentation [CVPR 2026] Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity Correspondence [CVPR 2026] RoadSceneBench: A Lightweight Benchmark for Mid-Level Road Scene Understanding Are diffusion policies in robot learning too brittle for the real world? In this video, we introduce REACH (Recovery through ... [CVPR 2026 Findings] FUSION: Full-Body Unified Motion Prior for Body and Hands via Diffusion
![[CVPR 2026] Delta Rectified Flow Sampling for Text-to-Image Editing](https://i.ytimg.com/vi/JvDJm3jEnAQ/mqdefault.jpg)
![[CVPR 2026 Video] Bidirectional Normalizing Flow: from data to noise and back](https://i.ytimg.com/vi/e3u_IgRLzp8/mqdefault.jpg)
![[CVPR 2026] PhysVid: Physics-Aware Local Conditioning for Generative Video Models](https://i.ytimg.com/vi/BKmVitsRpZU/mqdefault.jpg)
![[CVPR 2026] CoLoR: The Devil is in Scene Coordinate Regression for Large-Scale Visual Localization](https://i.ytimg.com/vi/Y61X393xHIM/mqdefault.jpg)
![[CVPR 2026] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers](https://i.ytimg.com/vi/01q-iudYWbo/mqdefault.jpg)
![[CVPR 2026] FlowMotion: Training-Free Flow Guidance for Video Motion Transfer](https://i.ytimg.com/vi/EW1Kj3WhBzM/mqdefault.jpg)
![[CVPR 2026] mmWaveFlow: Unified Enhancement and Generation of mmWave Human Point Clouds](https://i.ytimg.com/vi/86tBcnnKxGk/mqdefault.jpg)
![[CVPR 2026] FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution](https://i.ytimg.com/vi/M2PfaEHdeKg/mqdefault.jpg)
![[CVPR 2026] PR-MaGIC: Prompt Refinement via Mask Decoder Gradient Flow for In-Context Segmentation](https://i.ytimg.com/vi/G4taAMGhua0/mqdefault.jpg)
![[CVPR 2026] Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity Correspondence](https://i.ytimg.com/vi/AyU5uoErgRo/mqdefault.jpg)
![[CVPR 2026] RoadSceneBench: A Lightweight Benchmark for Mid-Level Road Scene Understanding](https://i.ytimg.com/vi/KGKWpzWX4OA/mqdefault.jpg)
![[CVPR 2026] Explicit Recovery Behavior for Diffusion Policies (REACH)](https://i.ytimg.com/vi/KplN4ncy3fU/mqdefault.jpg)
![[CVPR 2026] An Empirical Study onHow Video-LLMs Answer Video Questions](https://i.ytimg.com/vi/54pbPB9BEOQ/mqdefault.jpg)
![[CVPR 2026 Findings] FUSION: Full-Body Unified Motion Prior for Body and Hands via Diffusion](https://i.ytimg.com/vi/ggXO8LS2GEc/mqdefault.jpg)
![[CVPR 2026] FlowDIS: Language-Guided Dichotomous Image Segmentation with Flow Matching](https://i.ytimg.com/vi/R9s2X4LT4-s/mqdefault.jpg)
