Cvpr 2024 Memflow

Hello, everyone, welcome to pay attention to our work: “

Panda-70M is a large-scale dataset with 70M high-quality video-caption pairs. Interested in more details? Check our paper and ...

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We leverage the temporal optical flow clue within video to enhance the temporal consistency for text guided video-to-video ...

[CVPR 2024] VTimeLLM: 5 Min Presentation

This video is the presentation of the

Project page: https://fwmb.github.io/blockcaching/ Diffusion models have recently revolutionized the field of image synthesis due ...

[CVPR 2026] FlowMotion: Training-Free Flow Guidance for Video Motion Transfer

Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios Zhipeng Sui, ...

This video presents our

1st Place Solution for MOSE Track in

Authors: Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx (Meta Reality Labs) Paper: ...

Prompt Learning via Meta-Regularization Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim Computer Vision and Pattern Recognition ...

Understanding what deep network models capture in their learned representations is a fundamental challenge in computer vision.

This is the official video demonstration for the

1st Place Solution for MeViS Track in

ProcessMaker: A Generalized Process Visualization Framework with Adaptive Sequence Steps on Diffusion Transformers.

[CVPR 2026] PR-MaGIC: Prompt Refinement via Mask Decoder Gradient Flow for In-Context Segmentation