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Continuous intermediate token learning with implicit motion manifold for keyframe based motion interpolation
Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging
problem, due to continuity and exceptionally skeletal precision. The action features are often …
problem, due to continuity and exceptionally skeletal precision. The action features are often …
DanceGen: Supporting Choreography Ideation and Prototy** with Generative AI
Choreography creation requires high proficiency in artistic and technical skills.
Choreographers typically go through four stages to create a dance piece: preparation …
Choreographers typically go through four stages to create a dance piece: preparation …
Controllable free viewpoint video reconstruction based on neural radiance fields and motion graphs
H Zhang, F Li, J Zhao, C Tan, D Shen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a controllable high-quality free viewpoint video generation method
based on the motion graph and neural radiance fields (NeRF). Different from existing pose …
based on the motion graph and neural radiance fields (NeRF). Different from existing pose …
Bridging actions: Generate 3D poses and shapes in-between photos
WL Wei, JC Lin - IEEE Transactions on Pattern Analysis and …, 2024 - ieeexplore.ieee.org
Generating realistic 3D human motion has been a fundamental goal of the game/animation
industry. This work presents a novel transition generation technique that can bridge the …
industry. This work presents a novel transition generation technique that can bridge the …
Optimizing Motion Completion with Unconstrained Human Skeleton Structure Learning
Completing a motion sequence based on sparse key-frames remains a challenging task.
The limited grasp of the human skeleton's spatial structure and the complexity of handling …
The limited grasp of the human skeleton's spatial structure and the complexity of handling …
Develo** an Interactive Virtual Reality Dance Partner
A Slezas - 2024 - aaltodoc.aalto.fi
Virtual Reality (VR) offers enhanced immersion and potential for complex interactions with
the virtual space and characters, allowing to utilise the whole body of the user as an input …
the virtual space and characters, allowing to utilise the whole body of the user as an input …
Motor Learning based on Presentation of a Tentative Goal
This paper presents a motor learning method based on the presenting of a personalized
target motion, which we call a tentative goal. While many prior studies have focused on …
target motion, which we call a tentative goal. While many prior studies have focused on …
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis
With the recent success of deep learning algorithms, many researchers have focused on
generative models for human motion animation. However, the research community lacks a …
generative models for human motion animation. However, the research community lacks a …