activity
20172022
most citedAnimatable Neural Radiance Fields from Monocular RGB Videos

46 citations · 158 across the 13 of their papers we have counts for

collaborators

22 papers

cs.CV2022

PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis

Xianggang Yu, Jiapeng Tang, Yipeng Qin +4

We present PVSeRF, a learning framework that reconstructs neural radiance fields from single-view RGB images, for novel view synthesis. Previous solutions, such as pixelNeRF, rely…

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.CV2021

UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing

Meng Cao, Haozhi Huang, Hao Wang +6

Recent research has witnessed advances in facial image editing tasks including face swapping and face reenactment. However, these methods are confined to dealing with one specific…

cs.CV2021

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Yahui Liu, Enver Sangineto, Yajing Chen +6

Image-to-Image (I2I) multi-domain translation models are usually evaluated also using the quality of their semantic interpolation results. However, state-of-the-art models frequent…

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…