30 июл. 2020 г. · A new 3D human motion dataset, HumanAct12, is also constructed. Empirical experiments overthree distinct human motion datasets (including ours) ...

We aim to generate plausible human motion sequences in 3D. Importantly, the set of generated motions are expected to maintain its diversity.

12 окт. 2020 г. · We proposed a VAE based network for natural and diverse human motions generation only conditioned on action types. VAE tapped into a RNN ...

12 янв. 2021 г. · Official implementations for Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)

30 июл. 2020 г. · Figure 1: Conditioned on an action category (such as throw, warm up), our approach can generate a diverse set of natural 3D human motions.

Action2Motion can be seen as an inverse of action recognition: given a prescribed action type, it aims to generate plausible human motion sequences in 3D.

Methods of human motion Generation aim to generate natural, realistic and various 3D human motions based on different conditional information [ 22 ].

30 июл. 2020 г. · This paper aims to generate plausible human motion sequences in 3D given a prescribed action type, and proposes a temporal Variational ...

API »; Algorithms for deep motion generation »; Action2Motion: Conditioned Generation of 3D Human Motions; Edit on GitHub ...

HumanAct12 is a new 3D human motion dataset adopted from the polar image and 3D pose dataset PHSPD, with proper temporal cropping and action annotating.