Alternatives and similar repositories for motion-diffusion-model

Users that are interested in motion-diffusion-model are comparing it to the libraries listed below

• mingyuan-zhang / MotionDiffuse
  MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
  ☆940Updated last year
• EricGuo5513 / HumanML3D
  HumanML3D: A large and diverse 3d human motion-language dataset.
  ☆1,124Updated 11 months ago
• OpenMotionLab / MotionGPT
  [NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
  ☆1,729Updated last month
• shubham-goel / 4D-Humans
  4DHumans: Reconstructing and Tracking Humans with Transformers
  ☆1,416Updated last year
• YuliangXiu / ICON
  [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
  ☆1,647Updated last year
• cvlab-columbia / zero123
  Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
  ☆2,929Updated last year
• ashawkey / stable-dreamfusion
  Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
  ☆8,683Updated last year
• zju3dv / EasyMocap
  Make human motion capture easier.
  ☆4,172Updated 5 months ago
• EricGuo5513 / text-to-motion
  Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."
  ☆604Updated 11 months ago
• dunbar12138 / pix2pix3D
  pix2pix3D: Generating 3D Objects from 2D User Inputs
  ☆1,717Updated last year
• nv-tlabs / GET3D
  ☆4,380Updated 10 months ago
• DeepMotionEditing / deep-motion-editing
  An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
  ☆1,651Updated last year
• Mael-zys / T2M-GPT
  (CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
  ☆693Updated 10 months ago
• YuliangXiu / ECON
  [CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration
  ☆1,173Updated 10 months ago
• EricGuo5513 / momask-codes
  Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
  ☆1,088Updated 10 months ago
• junshutang / Make-It-3D
  [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
  ☆1,867Updated last year
• hongfz16 / AvatarCLIP
  [SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars
  ☆1,090Updated 2 years ago
• yohanshin / WHAM
  ☆899Updated last year
• jeffffffli / HybrIK
  Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
  ☆1,464Updated 6 months ago
• guochengqian / Magic123
  [ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Prior…
  ☆1,592Updated 2 months ago
• SMPLCap / SMPLer-X
  [NeurIPS 2023] Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"
  ☆1,125Updated 3 months ago
• MoyGcc / vid2avatar
  Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023)
  ☆1,324Updated 3 weeks ago
• facebookresearch / frankmocap
  A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
  ☆2,226Updated 2 years ago
• ChenFengYe / motion-latent-diffusion
  [CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
  ☆663Updated 2 years ago
• threestudio-project / threestudio
  A unified framework for 3D content generation.
  ☆6,830Updated 7 months ago
• vchoutas / smplx
  SMPL-X
  ☆2,211Updated 11 months ago
• thu-ml / prolificdreamer
  ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
  ☆1,541Updated last year
• zju3dv / 4K4D
  [CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution
  ☆1,739Updated last year
• omerbt / Text2LIVE
  Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)
  ☆889Updated 2 years ago
• threedle / text2mesh
  3D mesh stylization driven by a text input in PyTorch
  ☆963Updated last year