[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"
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Updated
May 23, 2024 - Python
[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
🚧 Coming Soon! [CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
[CVPR 2024] Official Implementation of "Seamless Human Motion Composition with Blended Positional Encodings".
A Collection of Papers and Codes for CVPR2024 AIGC
[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
Official implementation of CVPR 2024 paper "Retrieval-Augmented Open-Vocabulary Object Detection".
[CVPR2024] The official implementation of "MoCha-Stereo: Motif Channel Attention Network for Stereo Matching”.
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation
The official PyTorch implementation of the IEEE/CVF Computer Vision and Pattern Recognition (CVPR) '24 paper PREGO: online mistake detection in PRocedural EGOcentric videos.
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
[CVPR2024] CapHuman: Capture Your Moments in Parallel Universes
[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
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