Magicanimate: Temporally consistent human image animation using diffusion model

Z Xu, J Zhang, JH Liew, H Yan, JW Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation

Y Ma, H Liu, H Wang, H Pan, Y He, J Yuan… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which
animates a reference portrait with target landmark sequences. The main challenge of portrait …

X-portrait: Expressive portrait animation with hierarchical motion attention

Y Xie, H Xu, G Song, C Wang, Y Shi, L Luo - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
We propose X-Portrait, an innovative conditional diffusion model tailored for generating
expressive and temporally coherent portrait animation. Specifically, given a single portrait as …

Generalizable one-shot 3D neural head avatar

X Li, S De Mello, S Liu, K Nagano… - Advances in Neural …, 2024 - proceedings.neurips.cc
We present a method that reconstructs and animates a 3D head avatar from a single-view
portrait image. Existing methods either involve time-consuming optimization for a specific …

Xagen: 3d expressive human avatars generation

Z Xu, J Zhang, JH Liew, J Feng… - Advances in Neural …, 2024 - proceedings.neurips.cc
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 …

Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data

Y Deng, D Wang, X Ren, X Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
Existing one-shot 4D head synthesis methods usually learn from monocular videos with the
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …

AniPortraitGAN: animatable 3D portrait generation from 2D image collections

Y Wu, S Xu, J Xiang, F Wei, Q Chen, J Yang… - SIGGRAPH Asia 2023 …, 2023 - dl.acm.org
Previous animatable 3D-aware GANs for human generation have primarily focused on
either the human head or full body. However, head-only videos are relatively uncommon in …

VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment

P Tran, E Zakharov, LN Ho, AT Tran… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present a 3D-aware one-shot head reenactment method based on a fully volumetric
neural disentanglement framework for source appearance and driver expressions. Our …

Advances in 3d generation: A survey

X Li, Q Zhang, D Kang, W Cheng, Y Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

Learning dense correspondence for nerf-based face reenactment

S Yang, W Wang, Y Lan, X Fan, B Peng… - Proceedings of the …, 2024 - ojs.aaai.org
Face reenactment is challenging due to the need to establish dense correspondence
between various face representations for motion transfer. Recent studies have utilized …