Human Animation
9 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Human Animation
Most implemented papers
Language2Pose: Natural Language Grounded Pose Forecasting
In this paper, we address this multimodal problem by introducing a neural architecture called Joint Language to Pose (or JL2P), which learns a joint embedding of language and pose.
AvatarGen: A 3D Generative Model for Animatable Human Avatars
Specifically, we decompose the generative 3D human synthesis into pose-guided mapping and canonical representation with predefined human pose and shape, such that the canonical representation can be explicitly driven to different poses and shapes with the guidance of a 3D parametric human model SMPL.
Towards 4D Human Video Stylization
To overcome these limitations, we leverage Neural Radiance Fields (NeRFs) to represent videos, conducting stylization in the rendered feature space.
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
Notably, we introduce a rule-based camera trajectory generation method, enabling the synthetic pipeline to incorporate diverse and precise camera motion annotation, which can rarely be found in real-world data.
DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis
carmenw1203/dancecamanimator-official
•
•
Unlike human movements, which are always continuous, dance camera movements involve both continuous sequences of variable lengths and sudden drastic changes to simulate the switching of multiple cameras.
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
We motivate our work by noting that most methods require a parametric model of the human body to ground pose-dependent deformations.
EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
Recent work on human animation usually involves audio, pose, or movement maps conditions, thereby achieves vivid animation quality.
GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video
Avatar modelling has broad applications in human animation and virtual try-ons.
StableAnimator: High-Quality Identity-Preserving Human Image Animation
Francis-Rings/StableAnimator
•
•
During inference, we propose a novel Hamilton-Jacobi-Bellman (HJB) equation-based optimization to further enhance the face quality.
