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 ... [CVPR 2026] ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation
Cvpr 2026 Video Bidirectional Normalizing - 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 ... [CVPR 2026] ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation Hakyeong Kim, Ruicheng Wang, Chengtang Yao, Jiaolong Yang, Min H. Kim ( [CVPR 2026] Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity Correspondence
![[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] Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers](https://i.ytimg.com/vi/01q-iudYWbo/mqdefault.jpg)
![[CVPR 2026] Visual PersonalizationTuring Test](https://i.ytimg.com/vi/cXKBTirkmGk/mqdefault.jpg)
![[CVPR 2026] Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods](https://i.ytimg.com/vi/USJ5pKu0Vho/mqdefault.jpg)
![[CVPR 2026] ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation](https://i.ytimg.com/vi/5IYRJQsE3iE/mqdefault.jpg)
![[CVPR 2026] Dense Metric Depth Completion from Sparse Direct Time-of-Flight Sensors](https://i.ytimg.com/vi/_0dIKkF1Oko/mqdefault.jpg)
![[CVPR 2026] An Empirical Study onHow Video-LLMs Answer Video Questions](https://i.ytimg.com/vi/54pbPB9BEOQ/mqdefault.jpg)
![[CVPR 2026] Scene-Centric Unsupervised Video Panoptic Segmentation](https://i.ytimg.com/vi/lDvgajKB-5w/mqdefault.jpg)
![[CVPR 2026] CamDirector: Towards Long-Term Coherent Video Trajectory Editing](https://i.ytimg.com/vi/C2O0Nwt40Gc/mqdefault.jpg)
![[CVPR 2026] Spatial-Frequency Aligned Diffusion Features for Cross-Sparsity Correspondence](https://i.ytimg.com/vi/AyU5uoErgRo/mqdefault.jpg)
