Papers 3D Human Dynamics
“3D Human Dynamics” 태그가 달린 논문 5편 · 필터 해제
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most existing research on HOI synthesis lacks comprehensive whole-body interactions with dynamic objects, e.g., often limited to mani…
3D Human DynamicsHuman DynamicsHuman motion predictionHuman-Object Interaction Detection+5AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
Neural fields such as implicit surfaces have recently enabled avatar modeling from raw scans without explicit temporal correspondences. In this work, we exploit autoregressive modeling to further extend this notion to ca…
3D Human Dynamics3D Human ReconstructionHuman DynamicsDynamical Variational Autoencoders: A Comprehensive Review
Variational autoencoders (VAEs) are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional latent space learned in an unsupervised manner. In the original VAE mod…
3D Human DynamicsResynthesisSpeech SynthesisState Space Models+1Predicting 3D Human Dynamics from Video
Given a video of a person in action, we can easily guess the 3D future motion of the person. In this work, we present perhaps the first approach for predicting a future 3D mesh model sequence of a person from past video …
3D Human Dynamics3D Human Pose EstimationFuture predictionHuman Dynamics+2Learning 3D Human Dynamics from Video
From an image of a person in action, we can easily guess the 3D motion of the person in the immediate past and future. This is because we have a mental model of 3D human dynamics that we have acquired from observing visu…
3D Human Dynamics3D Human Pose EstimationHuman Dynamics