motion retargeting
15 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in motion retargeting
Latest papers
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space
why986/VFA
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Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse.
Semantics2Hands: Transferring Hand Motion Semantics between Avatars
Human hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios.
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
hlcdyy/pan-motion-retargeting
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Moreover, we also show that our framework can generate reasonable results even for a more challenging retargeting scenario, like retargeting between bipedal and quadrupedal skeletons because of the body part retargeting strategy and PAN.
Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
kebii/r2et
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CVPR 2023
Driven by our explored distance-based losses that explicitly model the motion semantics and geometry, these two modules can learn residual motion modifications on the source motion to generate plausible retargeted motion in a single inference without post-processing.
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer
Animating a virtual character based on a real performance of an actor is a challenging task that currently requires expensive motion capture setups and additional effort by expert animators, rendering it accessible only to large production houses.
Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis
The novel design of dual branches combines the strengths of deformation-grid-based transformation and warp-free generation for better identity preservation and robustness to occlusion in the synthesized videos.
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
YangDi666/UNIK
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Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings.
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
jianglongye/cgf
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We will first convert the large-scale human-object interaction trajectories to robot demonstrations via motion retargeting, and then use these demonstrations to train CGF.
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
While significant progress has been made on understanding hand-object interactions in computer vision, it is still very challenging for robots to perform complex dexterous manipulation.
AgileGAN: stylizing portraits by inversion-consistent transfer learning
While substantial progress has been made in automated stylization, generating high quality stylistic portraits is still a challenge, and even the recent popular Toonify suffers from several artifacts when used on real input images.
