Magicanimate: Temporally consistent human image animation using diffusion model
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 …
certain reference identity following a particular motion sequence. Existing animation works …
Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation
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 …
animates a reference portrait with target landmark sequences. The main challenge of portrait …
X-portrait: Expressive portrait animation with hierarchical motion attention
We propose X-Portrait, an innovative conditional diffusion model tailored for generating
expressive and temporally coherent portrait animation. Specifically, given a single portrait as …
expressive and temporally coherent portrait animation. Specifically, given a single portrait as …
Generalizable one-shot 3D neural head avatar
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 …
portrait image. Existing methods either involve time-consuming optimization for a specific …
Xagen: 3d expressive human avatars generation
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 …
controllable human body images. However, existing methods focus on the control of major …
Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data
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 …
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …
AniPortraitGAN: animatable 3D portrait generation from 2D image collections
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 …
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
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 …
neural disentanglement framework for source appearance and driver expressions. Our …
Advances in 3d generation: A survey
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 …
decades of research. With the emergence of advanced neural representations and …
Learning dense correspondence for nerf-based face reenactment
Face reenactment is challenging due to the need to establish dense correspondence
between various face representations for motion transfer. Recent studies have utilized …
between various face representations for motion transfer. Recent studies have utilized …