activity
20202023
most citedAgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging

18 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 1 cited

FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features

Yufeng Yin, Di Chang, Guoxian Song +5

Automatic detection of facial Action Units (AUs) allows for objective facial expression analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks, p…

cs.CV2023★ 2 cited

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs

Jiteng Mu, Shen Sang, Nuno Vasconcelos +1

While NeRF-based human representations have shown impressive novel view synthesis results, most methods still rely on a large number of images / views for training. In this work, w…

cs.CV2023★ 1 cited

AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning

Guoxian Song, Hongyi Xu, Jing Liu +7

While substantial progresses have been made in automated 2D portrait stylization, admirable 3D portrait stylization from a single user photo remains to be an unresolved challenge.…

cs.CV2023

Tag-based annotation creates better avatars

Minghao Liu, Zeyu Cheng, Shen Sang +2

Avatar creation from human images allows users to customize their digital figures in different styles. Existing rendering systems like Bitmoji, MetaHuman, and Google Cartoonset pro…

cs.CV2022★ 18 cited

AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging

Shen Sang, Tiancheng Zhi, Guoxian Song +6

Stylized 3D avatars have become increasingly prominent in our modern life. Creating these avatars manually usually involves laborious selection and adjustment of continuous and dis…

cs.CV2020★ 13 cited

OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets

Zhengqin Li, Ting-Wei Yu, Shen Sang +14

We propose a novel framework for creating large-scale photorealistic datasets of indoor scenes, with ground truth geometry, material, lighting and semantics. Our goal is to make th…