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Found 10 papers, 3 papers with code
DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced Three-Point Trackers
We then condition the otherwise ambiguous lower-body pose with the predictions of foot contact and upper-body pose in a two-stage model.
SPnet: Estimating Garment Sewing Patterns from a Single Image
This paper presents a novel method for reconstructing 3D garment models from a single image of a posed user.
DeepIron: Predicting Unwarped Garment Texture from a Single Image
Realistic reconstruction of 3D clothing from an image has wide applications, such as avatar creation and virtual try-on.
MOCHA: Real-Time Motion Characterization via Context Matching
Central to our framework is the Neural Context Matcher, which generates a motion feature for the target character with the most similar context to the input motion feature.
MOVIN: Real-time Motion Capture using a Single LiDAR
In such applications, precise full-body tracking is essential for an immersive experience and a sense of embodiment with the virtual avatar.
Motion Puzzle: Arbitrary Motion Style Transfer by Body Part
The Motion Puzzle is the first that can control the motion style of individual body parts, allowing for local style editing and significantly increasing the range of stylized motions.
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
The fields of SocialVR, performance capture, and virtual try-on are often faced with a need to faithfully reproduce real garments in the virtual world.
Generating Datasets of 3D Garments with Sewing Patterns
Our method consists of a flexible description structure for specifying parametric sewing pattern templates and the automatic generation pipeline to produce garment 3D models with little-to-none manual intervention.
Quadruped Locomotion on Non-Rigid Terrain using Reinforcement Learning
Specifically, our framework can generate quadruped locomotion on flat elastic terrain that consists of a matrix of tiles moving up and down passively when pushed by the robot's feet.
Placement Retargeting of Virtual Avatars to Dissimilar Indoor Environments
In this paper, we present novel methods to determine the avatar's position in an indoor space to preserve the semantics of the user's position in a dissimilar indoor space with different space configurations and furniture layouts.
Human-Computer Interaction
