Papers with Code 아카이브
motion retargeting
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Computerized Assessment of Motor Imitation for Distinguishing Autism in Video (CAMI-2DNet)
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration
Learning from Massive Human Videos for Universal Humanoid Pose Control
Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control
D-LORD for Motion Stylization
Skinned Motion Retargeting with Dense Geometric Interaction Perception
Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior
STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting
Adversary-Guided Motion Retargeting for Skeleton Anonymization
Unsupervised Motion Retargeting for Human-Robot Imitation
Semantics-aware Motion Retargeting with Vision-Language Models
Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior
ImitationNet: Unsupervised Human-to-Robot Motion Retargeting via Shared Latent Space
Semantics2Hands: Transferring Hand Motion Semantics between Avatars
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
Physics-based Motion Retargeting from Sparse Inputs
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
HMC: Hierarchical Mesh Coarsening for Skeleton-free Motion Retargeting
Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
Correspondence-free online human motion retargeting
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
An Identity-Preserved Framework for Human Motion Transfer
H4D: Human 4D Modeling by Learning Neural Compositional Representation
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Video-driven Neural Physically-based Facial Asset for Production
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
Hierarchical Neural Implicit Pose Network for Animation and Motion Retargeting
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Contact-Aware Retargeting of Skinned Motion
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
AgileGAN: stylizing portraits by inversion-consistent transfer learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.