activity
20192023
most citedInference Stage Optimization for Cross-scenario 3D Human Pose Estimation

19 citations · 30 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV20237 cited

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +5

This paper studies the human image animation task, which aims to generate a video of a certain reference identity following a particular motion sequence. Existing animation works t…

cs.CV20232 cited

XAGen: 3D Expressive Human Avatars Generation

Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew +2

Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joi…

cs.CV2022

AvatarGen: A 3D Generative Model for Animatable Human Avatars

Jianfeng Zhang, Zihang Jiang, Dingdong Yang +6

Unsupervised generation of 3D-aware clothed humans with various appearances and controllable geometries is important for creating virtual human avatars and other AR/VR applications…

cs.CV20222 cited

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

Kehong Gong, Bingbing Li, Jianfeng Zhang +5

Existing self-supervised 3D human pose estimation schemes have largely relied on weak supervisions like consistency loss to guide the learning, which, inevitably, leads to inferior…

cs.CV2021

PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

Kehong Gong, Jianfeng Zhang, Jiashi Feng

Existing 3D human pose estimators suffer poor generalization performance to new datasets, largely due to the limited diversity of 2D-3D pose pairs in the training data. To address…

cs.CV2021

Body Meshes as Points

Jianfeng Zhang, Dongdong Yu, Jun Hao Liew +2

We consider the challenging multi-person 3D body mesh estimation task in this work. Existing methods are mostly two-stage based--one stage for person localization and the other sta…