7 citations · 9 across the 3 of their papers we have counts for
4 papers
SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations
Songchun Zhang, Huiyao Xu, Sitong Guo +4
Novel view synthesis (NVS) boosts immersive experiences in computer vision and graphics. Existing techniques, though progressed, rely on dense multi-view observations, restricting…
MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation
Huaize Liu, Wenzhang Sun, Donglin Di +4
The generation of talking avatars has achieved significant advancements in precise audio synchronization. However, crafting lifelike talking head videos requires capturing a broad…
Learning Human Motion from Monocular Videos via Cross-Modal Manifold Alignment
Shuaiying Hou, Hongyu Tao, Junheng Fang +3
Learning 3D human motion from 2D inputs is a fundamental task in the realms of computer vision and computer graphics. Many previous methods grapple with this inherently ambiguous t…
A causal convolutional neural network for multi-subject motion modeling and generation
Shuaiying Hou, Congyi Wang, Wenlin Zhuang +5
Inspired by the success of WaveNet in multi-subject speech synthesis, we propose a novel neural network based on causal convolutions for multi-subject motion modeling and generatio…