9 citations · 34 across the 30 of their papers we have counts for
9 papers · 1 filter
SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
Ziqiao Peng, Wentao Hu, Yue Shi +6
Achieving high synchronization in the synthesis of realistic, speech-driven talking head videos presents a significant challenge. Traditional Generative Adversarial Networks (GAN)…
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval
Kaixing Yang, Xukun Zhou, Xulong Tang +4
Dance and music are closely related forms of expression, with mutual retrieval between dance videos and music being a fundamental task in various fields like education, art, and sp…
STDG: Semi-Teacher-Student Training Paradigram for Depth-guided One-stage Scene Graph Generation
Xukun Zhou, Zhenbo Song, Jun He +2
Scene Graph Generation is a critical enabler of environmental comprehension for autonomous robotic systems. Most of existing methods, however, are often thwarted by the intricate d…
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation
Yixing Lu, Zhaoxin Fan, Min Xu
In this paper, we introduce a novel semi-supervised learning framework tailored for medical image segmentation. Central to our approach is the innovative Multi-scale Text-aware ViT…
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field
Xueting Yang, Yihao Luo, Yuliang Xiu +3
Realistic virtual humans play a crucial role in numerous industries, such as metaverse, intelligent healthcare, and self-driving simulation. But creating them on a large scale with…
Benchmarking Ultra-High-Definition Image Reflection Removal
Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang +2
Deep learning based methods have achieved significant success in the task of single image reflection removal (SIRR). However, the majority of these methods are focused on High-Defi…
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation
Zhaoxin Fan, Puquan Pan, Zeren Zhang +4
Few-shot medical image semantic segmentation is of paramount importance in the domain of medical image analysis. However, existing methodologies grapple with the challenge of data…
SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces
Ziqiao Peng, Yihao Luo, Yue Shi +5
Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial exp…
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
Ziqiao Peng, Haoyu Wu, Zhenbo Song +5
Speech-driven 3D face animation aims to generate realistic facial expressions that match the speech content and emotion. However, existing methods often neglect emotional facial ex…