activity
20182021
most citedAnimatable Neural Radiance Fields from Monocular RGB Videos

46 citations · 54 across the 2 of their papers we have counts for

collaborators

5 papers

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.CV2020

Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion

Yujin Chen, Zhigang Tu, Di Kang +4

Accurate 3D reconstruction of the hand and object shape from a hand-object image is important for understanding human-object interaction as well as human daily activities. Differen…

cs.CV2018

Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid

Di Kang, Antoni Chan

Because of the powerful learning capability of deep neural networks, counting performance via density map estimation has improved significantly during the past several years. Howev…