3 citations · 5 across the 12 of their papers we have counts for
8 papers · 1 filter
OmniMate: Open-Ended Real-Time Streaming Audio-Visual Generation for Interactive Avatars
Quanyue Song, Yishan He, Yanbo Ding +4
Recent advances in diffusion-based generative models have enabled real-time audio-driven avatar generation and unified audio-visual synthesis, providing a promising foundation for…
InteractiveAvatar: Real-Time Streaming Video Generation for Consistent and Intent-Aware Avatars
Quanyue Song, Yishan He, Yanfei Zhang +6
Recent diffusion-based models have enabled realistic audio-driven avatar generation in real-time streaming. However, existing approaches struggle to maintain visual temporal consis…
PAS3R: Pose-Adaptive Streaming 3D Reconstruction for Long Video Sequences
Lanbo Xu, Liang Guo, Caigui Jiang +1
Online monocular 3D reconstruction enables dense scene recovery from streaming video but remains fundamentally limited by the stability-adaptation dilemma: the reconstruction model…
Cascaded Robust Rectification for Arbitrary Document Images
Chaoyun Wang, Quanxin Huang, I-Chao Shen +3
Document rectification in real-world scenarios poses significant challenges due to extreme variations in camera perspectives and physical distortions. Driven by the insight that co…
A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
Haodong Pan, Hao Wei, Yusong Wang +2
Learned image compression (LIC) has recently benefited from Transformer- and state space models (SSM)- based backbones for modeling long-range dependencies. However, the former typ…
Axis-Aligned Document Dewarping
Chaoyun Wang, I-Chao Shen, Takeo Igarashi +1
Document dewarping is crucial for many applications. However, existing learning-based methods rely heavily on supervised regression with annotated data without fully leveraging the…
VectorTalker: SVG Talking Face Generation with Progressive Vectorisation
Hao Hu, Xuan Wang, Jingxiang Sun +3
High-fidelity and efficient audio-driven talking head generation has been a key research topic in computer graphics and computer vision. In this work, we study vector image based a…
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
Yuan Sun, Xuan Wang, Yunfan Zhang +4
We present a method named iComMa to address the 6D camera pose estimation problem in computer vision. Conventional pose estimation methods typically rely on the target's CAD model…