Fetching the paper…
Reading the bibliography…
Our goal is to generate realistic human motion from natural language.
Visualizing data using t-SNE
2008
Earlier work this paper cites.
Auto-encoding variational bayes
2013
Earlier work this paper cites.
The kit whole-body human motion database
2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
2015
Earlier work this paper cites.
Gaussian error linear units (GELUs)
2016
Earlier work this paper cites.
A deep learning framework for character motion synthesis and editing
2016
Earlier work this paper cites.
Learning human motion models for long-term predictions
2017
Earlier work this paper cites.
Phase-functioned neural networks for character control
2017
Earlier work this paper cites.
GANs trained by a two time-scale update rule converge to a local nash equilibrium
2017
Earlier work this paper cites.
Neural discrete representation learning
2017
Earlier work this paper cites.
Attention is all you need
2017
Earlier work this paper cites.
Few-shot learning of homogeneous human locomotion styles
2018
Earlier work this paper cites.
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
2018
Earlier work this paper cites.
Language2Pose: Natural language grounded pose forecasting
2019
Earlier work this paper cites.
Learning individual styles of conversational gesture
2019
Earlier work this paper cites.
Dancing to music
2019
Earlier work this paper cites.
Convolutional sequence generation for skeleton-based action synthesis
2019
Earlier work this paper cites.
Probabilistic character motion synthesis using a hierarchical deep latent variable model
2020
Earlier work this paper cites.
Action2Motion: Conditioned generation of 3D human motions
2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
2020
Cited alongside, same era.
We are more than our joints: Predicting how 3D bodies move
2020
Cited alongside, same era.
Bayesian adversarial human motion synthesis
2020
Cited alongside, same era.
Rhythm is a dancer: Music driven motion synthesis with global structure
2021
Cited alongside, same era.
Text2Gestures: A transformer-based network for generating emotive body gestures for virtual agents
2021
Cited alongside, same era.
Synthesis of compositional animations from textual descriptions
2021
Cited alongside, same era.
PoseGPT: Quantization-based 3D human motion generation and forecasting
2022
Later among the works it cites.
TEMOS: Generating diverse human motions from textual descriptions
2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
2022
Later among the works it cites.
MotionCLIP: Exposing human motion generation to CLIP space
2022
Later among the works it cites.
Motiondiffuse: Text-driven human motion generation with diffusion model
2022
Later among the works it cites.
SINC: Spatial composition of 3D human motions for simultaneous action generation
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2021
Cited alongside, same era.
A Survey on Deep Learning for Skeleton-Based Human Animation
2021
Cited alongside, same era.
Action-conditioned 3D human motion synthesis with transformer VAE
2021
Cited alongside, same era.
HuMoR: 3D human motion model for robust pose estimation
2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
2021
Cited alongside, same era.
Neural animation layering for synthesizing martial arts movements
2021
Cited alongside, same era.
GestureDiffuCLIP: Gesture diffusion model with CLIP latents
2023
Later among the works it cites.
Executing your commands via motion diffusion in latent space
2023
Later among the works it cites.
Designing an encoder for fast personalization of text-to-image models
2023
Later among the works it cites.
FLAME: Free-form language-based motion synthesis & editing
2023
Later among the works it cites.
Guided motion diffusion for controllable human motion synthesis
2023
Later among the works it cites.
EDGE: Editable dance generation from music
2023
Later among the works it cites.
Human motion diffusion model
2023
Later among the works it cites.
Fg-T2M: Fine-grained text-driven human motion generation via diffusion model
2023
Later among the works it cites.
Omnicontrol: Control any joint at any time for human motion generation
2023
Later among the works it cites.
ReMoDiffuse: Retrieval-augmented motion diffusion model
2023
Later among the works it cites.
T2M-GPT: Generating human motion from textual descriptions with discrete representations
2023
Later among the works it cites.
MotionLCM: Real-time controllable motion generation via latent consistency model
2024
Closest in time.
Motiongpt: Human motion as a foreign language
2024
Closest in time.
Conditional gradient-based textual inversion
2024
Closest in time.