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motion synthesis

8 papers with code · Computer Vision

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On human motion prediction using recurrent neural networks

CVPR 2017 facebookresearch/QuaterNet

Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality.

HUMAN MOTION PREDICTION MOTION ESTIMATION MOTION PREDICTION MOTION SYNTHESIS

Skeleton-Aware Networks for Deep Motion Retargeting

12 May 2020DeepMotionEditing/deep-motion-editing

In other words, our operators form the building blocks of a new deep motion processing framework that embeds the motion into a common latent space, shared by a collection of homeomorphic skeletons.

MOTION CAPTURE MOTION RETARGETING MOTION SYNTHESIS

Unpaired Motion Style Transfer from Video to Animation

12 May 2020DeepMotionEditing/deep-motion-editing

In this paper, we present a novel data-driven framework for motion style transfer, which learns from an unpaired collection of motions with style labels, and enables transferring motion styles not observed during training.

3D RECONSTRUCTION MOTION SYNTHESIS STYLE TRANSFER

MoGlow: Probabilistic and controllable motion synthesis using normalising flows

16 May 2019chaiyujin/glow-pytorch

Data-driven modelling and synthesis of motion is an active research area with applications that include animation, games, and social robotics.

MOTION CAPTURE MOTION SYNTHESIS NORMALISING FLOWS

Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows

Computer Graphics Forum 2020 simonalexanderson/StyleGestures

In interactive scenarios, systems for generating natural animations on the fly are key to achieving believable and relatable characters.

GESTURE GENERATION MOTION SYNTHESIS NORMALISING FLOWS

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning

ICLR 2021 tonyhu20116543/DanceRevolution

In this paper, we formalize the music-driven dance generation as a sequence-to-sequence learning problem and devise a novel seq2seq architecture to efficiently process long sequences of music features and capture the fine-grained correspondence between music and dance.

CURRICULUM LEARNING MOTION SYNTHESIS

HP-GAN: Probabilistic 3D human motion prediction via GAN

27 Nov 2017ebarsoum/hpgan

Our model, which we call HP-GAN, learns a probability density function of future human poses conditioned on previous poses.

AUTONOMOUS VEHICLES HUMAN MOTION PREDICTION MOTION ESTIMATION MOTION PREDICTION MOTION SYNTHESIS SYNTHETIC DATA GENERATION

A Neural Temporal Model for Human Motion Prediction

CVPR 2019 cr7anand/neural_temporal_models

We propose novel neural temporal models for predicting and synthesizing human motion, achieving state-of-the-art in modeling long-term motion trajectories while being competitive with prior work in short-term prediction and requiring significantly less computation.

HUMAN MOTION PREDICTION MOTION PREDICTION MOTION SYNTHESIS