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Found 7 papers, 1 papers with code
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Head avatar reconstruction, crucial for applications in virtual reality, online meetings, gaming, and film industries, has garnered substantial attention within the computer vision community.
Dual Semantic Fusion Network for Video Object Detection
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
In this paper, we propose a robust tracking method via Statistical Positive sample generation and Gradient Aware learning (SPGA) to address the above two limitations.
Accelerating the Training of Video Super-Resolution Models
In this work, we show that it is possible to gradually train video models from small to large spatial/temporal sizes, i. e., in an easy-to-hard manner.
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
Vision-language alignment learning for video-text retrieval arouses a lot of attention in recent years.
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
Audio-driven portrait animation aims to synthesize portrait videos that are conditioned by given audio.
Accurate 3D Face Reconstruction with Facial Component Tokens
However, the current deep learning-based methods face significant challenges in achieving accurate reconstruction with disentangled facial parameters and ensuring temporal stability in single-frame methods for 3D face tracking on video data.
