80 citations · 123 across the 19 of their papers we have counts for
16 papers · 1 filter
ES3D: Embedding Semantics into 3D Space for Component-Aware Editing
Xuancheng Jin, Rengan Xie, Jiayuan Lu +5
Existing 3D editing methods have made notable progress in controllability, yet they remain limited in several important ways. Most approaches rely on text-driven editing, which str…
7ABAW-Compound Expression Recognition via Curriculum Learning
Chen Liu, Feng Qiu, Wei Zhang +3
With the advent of deep learning, expression recognition has made significant advancements. However, due to the limited availability of annotated compound expression datasets and t…
EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting
Suzhen Wang, Weijie Chen, Wei Zhang +5
Character customization, or 'face crafting,' is a vital feature in role-playing games (RPGs), enhancing player engagement by enabling the creation of personalized avatars. Existing…
Affective Behaviour Analysis via Progressive Learning
Chen Liu, Wei Zhang, Feng Qiu +2
Affective Behavior Analysis aims to develop emotionally intelligent technology that can recognize and respond to human emotions. To advance this field, the 7th Affective Behavior A…
Affective Behaviour Analysis via Integrating Multi-Modal Knowledge
Wei Zhang, Feng Qiu, Chen Liu +4
Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…
Text-Guided 3D Face Synthesis -- From Generation to Editing
Yunjie Wu, Yapeng Meng, Zhipeng Hu +5
Text-guided 3D face synthesis has achieved remarkable results by leveraging text-to-image (T2I) diffusion models. However, most existing works focus solely on the direct generation…
CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses
Hongyu Fu, Xin Yu, Lincheng Li +1
Existing volumetric neural rendering techniques, such as Neural Radiance Fields (NeRF), face limitations in synthesizing high-quality novel views when the camera poses of input ima…
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge
Chen Liu, Peike Li, Hu Zhang +4
Given an audio-visual pair, audio-visual segmentation (AVS) aims to locate sounding sources by predicting pixel-wise maps. Previous methods assume that each sound component in an a…
EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
Zhipeng Hu, Minda Zhao, Chaoyi Zhao +6
While image diffusion models have made significant progress in text-driven 3D content creation, they often fail to accurately capture the intended meaning of text prompts, especial…
EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation
Xingqun Qi, Chen Liu, Lincheng Li +3
Generating vivid and diverse 3D co-speech gestures is crucial for various applications in animating virtual avatars. While most existing methods can generate gestures from audio di…
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
Ming Wang, Xianda Guo, Beibei Lin +5
Gait recognition is a biometric technology that recognizes the identity of humans through their walking patterns. Compared with other biometric technologies, gait recognition is mo…
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination
Haoqian Wu, Zhipeng Hu, Lincheng Li +3
Inverse rendering methods aim to estimate geometry, materials and illumination from multi-view RGB images. In order to achieve better decomposition, recent approaches attempt to mo…
GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition
Beibei Lin, Shunli Zhang, Ming Wang +2
Existing gait recognition methods either directly establish Global Feature Representation (GFR) from original gait sequences or generate Local Feature Representation (LFR) from sev…
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations
Yunlong Ran, Jing Zeng, Shibo He +5
Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying t…
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan +3
In this paper, we present a novel double diffusion based neural radiance field, dubbed DD-NeRF, to reconstruct human body geometry and render the human body appearance in novel vie…
One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning
Suzhen Wang, Lincheng Li, Yu Ding +1
Audio-driven one-shot talking face generation methods are usually trained on video resources of various persons. However, their created videos often suffer unnatural mouth shapes a…