activity
20182022
most citedAnimatable Neural Radiance Fields from Monocular RGB Videos

46 citations · 61 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20221 cited

WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation

Yingzhi Tang, Yue Qian, Qijian Zhang +3

We propose WarpingGAN, an effective and efficient 3D point cloud generation network. Unlike existing methods that generate point clouds by directly learning the mapping functions b…

cs.CV20216 cited

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders

Jing Li, Di Kang, Wenjie Pei +4

Generating conversational gestures from speech audio is challenging due to the inherent one-to-many mapping between audio and body motions. Conventional CNNs/RNNs assume one-to-one…

cs.CV202146 cited

Animatable Neural Radiance Fields from Monocular RGB Videos

Jianchuan Chen, Ying Zhang, Di Kang +4

We present animatable neural radiance fields (animatable NeRF) for detailed human avatar creation from monocular videos. Our approach extends neural radiance fields (NeRF) to the d…

cs.CV20218 cited

Model-based 3D Hand Reconstruction via Self-Supervised Learning

Yujin Chen, Zhigang Tu, Di Kang +5

Reconstructing a 3D hand from a single-view RGB image is challenging due to various hand configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular imag…

cs.CV2020

High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies

Linchao Bao, Xiangkai Lin, Yajing Chen +9

We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera. The system only needs the user to ta…

cs.CV2018

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval

Xuefei Zhe, Shifeng Chen, Hong Yan

Deep distance metric learning (DDML), which is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, has achieved encouraging…