ubisoft / ubisoft-laforge-ZeroEGGS

Related projects: ⓘ

• PeizhuoLi / ganimator
  A motion generation model learned from a single example [SIGGRAPH 2022]
  ☆383Updated 2 months ago
• wyysf-98 / GenMM
  ☆255Updated 3 months ago
• EricGuo5513 / text-to-motion
  Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
  ☆457Updated last month
• facebookresearch / AGRoL
  Code release for "Avatars Grow Legs Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model", CVPR 2023
  ☆238Updated 4 months ago
• softcat477 / SMPL-to-FBX
  Load SMPL in blender
  ☆280Updated last year
• ChenFengYe / motion-latent-diffusion
  [CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
  ☆569Updated last year
• priorMDM / priorMDM
  The official implementation of the paper "Human Motion Diffusion as a Generative Prior"
  ☆416Updated 3 weeks ago
• paulstarke / PhaseBetweener
  Creating animation sequences between sparse key frames using motion phase features.
  ☆178Updated 3 months ago
• electronicarts / character-motion-vaes
  Character Controllers using Motion VAEs
  ☆253Updated 3 years ago
• EricGuo5513 / HumanML3D
  HumanML3D: A large and diverse 3d human motion-language dataset.
  ☆756Updated last month
• mingyuan-zhang / MotionDiffuse
  MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
  ☆837Updated 2 months ago
• yul85 / movingcam
  ☆233Updated 10 months ago
• simonalexanderson / ListenDenoiseAction
  Code to reproduce the results for our SIGGRAPH 2023 paper "Listen Denoise Action"
  ☆148Updated last year
• SinMDM / SinMDM
  Single Motion Diffusion Model
  ☆335Updated last month
• Mael-zys / T2M-GPT
  (CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
  ☆574Updated 9 months ago
• GuyTevet / MotionCLIP
  Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"
  ☆395Updated 9 months ago
• IDEA-Research / Motion-X
  [NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"
  ☆530Updated 2 weeks ago
• Mathux / TEMOS
  Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
  ☆366Updated 9 months ago
• Stanford-TML / EDGE
  Official PyTorch Implementation of EDGE (CVPR 2023)
  ☆434Updated 8 months ago
• muelea / shapy
  CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
  ☆303Updated 7 months ago
• yohanshin / WHAM
  ☆648Updated 5 months ago
• yanchxx / MoPA
  An Blender addon uses ROMP to extract human's 3D poses from image, video or webcam and drive your own 3D character.
  ☆244Updated last year
• sergeyprokudin / smplpix
  SMPLpix: Neural Avatars from 3D Human Models
  ☆416Updated last month
• ai4r / Gesture-Generation-from-Trimodal-Context
  Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity (SIGGRAPH Asia 2020)
  ☆243Updated 2 years ago
• simonalexanderson / StyleGestures
  ☆475Updated last year
• visonpon / human-motion-capture
  collect papers about human motion capture
  ☆411Updated 3 weeks ago
• zhengyuf / IMavatar
  Official repository for CVPR 2022 paper: I M Avatar: Implicit Morphable Head Avatars from Videos
  ☆628Updated 5 months ago
• Aubrey-ao / HumanBehaviorAnimation
  ☆171Updated 4 months ago
• davrempe / humor
  Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"
  ☆511Updated last year
• pau1o-hs / Learned-Motion-Matching
  A neural-network-based generative model for video-game characters animations
  ☆109Updated last year