2 citations · 5 across the 8 of their papers we have counts for
8 papers
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
Dong Huo, Zixin Guo, Xinxin Zuo +6
Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual descriptions. Current methods for generating and assembling textures from sampled views often…
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction
Yuxuan Mu, Xinxin Zuo, Chuan Guo +7
We present GSD, a diffusion model approach based on Gaussian Splatting (GS) representation for 3D object reconstruction from a single view. Prior works suffer from inconsistent 3D…
Generative Human Motion Stylization in Latent Space
Chuan Guo, Yuxuan Mu, Xinxin Zuo +4
Human motion stylization aims to revise the style of an input motion while keeping its content unaltered. Unlike existing works that operate directly in pose space, we leverage the…
Error-Aware Spatial Ensembles for Video Frame Interpolation
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu +4
Video frame interpolation~(VFI) algorithms have improved considerably in recent years due to unprecedented progress in both data-driven algorithms and their implementations. Recent…
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Hanwen Liang, Niamul Quader, Zhixiang Chi +4
Recent self-supervised video representation learning methods have found significant success by exploring essential properties of videos, e.g. speed, temporal order, etc. This work…
Decompose the Sounds and Pixels, Recompose the Events
Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li +2
In this paper, we propose a framework centering around a novel architecture called the Event Decomposition Recomposition Network (EDRNet) to tackle the Audio-Visual Event (AVE) loc…
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Hanwen Liang, Qiong Zhang, Peng Dai +1
State of the art (SOTA) few-shot learning (FSL) methods suffer significant performance drop in the presence of domain differences between source and target datasets. The strong dis…
Class Semantics-based Attention for Action Detection
Deepak Sridhar, Niamul Quader, Srikanth Muralidharan +3
Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to f…