Alternatives and similar repositories for ContactGen:

Users that are interested in ContactGen are comparing it to the libraries listed below

• LvXinTao / Mocap-to-SMPLX
  This repository is for fitting mocap data into SMPL-X parameters in [CVPR 2024]"Inter-X: Towards Versatile Human-Human Interaction Analys…
  ☆25Updated 7 months ago
• anindita127 / ReMoS
  Code for ReMoS: 3D-Motion Conditioned Reaction Synthesis for Two-person Interactions (ECCV 2024)
  ☆18Updated 3 weeks ago
• sanweiliti / EgoHMR
  PyTorch code for EgoHMR (ICCV 2023): Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
  ☆71Updated last year
• Godheritage / BOTH2Hands
  The official implementatation of paper "BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics".
  ☆39Updated 2 months ago
• hanbyel0105 / Diff-HMR
  Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metav…
  ☆25Updated last year
• Juzezhang / NeuralDome_Toolbox
  Official Dataset Toolbox of the paper "[CVPR 2023]NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions" and "[C…
  ☆45Updated 5 months ago
• USRC-SEA / OmniMotionGPT
  ☆25Updated 6 months ago
• Frank-ZY-Dou / TORE
  TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer
  ☆46Updated last year
• craigleili / GenZI
  GenZI: Zero-Shot 3D Human-Scene Interaction Generation (CVPR 2024)
  ☆46Updated 7 months ago
• hongsukchoi / HandNeRF_RELEASE
  Pytorch Implementation of "HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image", In ICRA 2024
  ☆19Updated 9 months ago
• vision3d-lab / ditto
  Official Implementation of "DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction" in CVPR 2024
  ☆24Updated 6 months ago
• SShowbiz / ZSP3A
  ☆20Updated 5 months ago
• dqj5182 / CONTHO_RELEASE
  [CVPR 2024] This repo is official PyTorch implementation of Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Tran…
  ☆79Updated 2 months ago
• x-tomasz / genzoo
  Synthetic animal image dataset for pose and shape reconstruction.
  ☆23Updated last month
• ptrvilya / object-popup
  [CVPR'23] Method to infer objects from human interactions
  ☆39Updated last year
• jiajunzhang16 / ins-hoi
  ☆21Updated last year
• axdfhj / MDD
  Pytorch implementation of paper "DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion"
  ☆24Updated last year
• sha2nkt / deco
  Estimate vertex-level 3D human-scene and human-object contacts across the full body mesh
  ☆67Updated 2 months ago
• zju3dv / text_scene_motion
  [CVPR 2024] Generating Human Motion in 3D Scenes from Text Descriptions
  ☆61Updated 2 months ago
• jyunlee / InterHandGen
  InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion (CVPR 2024)
  ☆62Updated 8 months ago
• whwjdqls / DisCoRD
  Official code release of "DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding"
  ☆19Updated 2 weeks ago
• jyuntins / harmony4d
  [NeuRIPS, 2024] Multi-Human Dataset for Close Interactions.
  ☆26Updated 2 months ago
• aioz-ai / GCD
  Controllable Group Choreography using Contrastive Diffusion
  ☆14Updated 5 months ago
• azadis / make-an-animation
  ☆9Updated last year
• yusukey03012 / DeFormer
  Research code for CVPR 2023 paper: "Deformable mesh transformer for 3D human mesh recovery"
  ☆28Updated last year
• yh2371 / CoMo
  ECCV 2024: Controllable Motion Generation through Language Guided Pose Code Editing
  ☆33Updated 3 weeks ago
• zju3dv / Motion-2-to-3
  Code for "Motion-2-to-3: Leveraging 2D Motion Data to Boost 3D Motion Generation", Arxiv 2024
  ☆67Updated 3 weeks ago
• ou524u / MotionCritic
  ☆38Updated 3 weeks ago
• Wenchao-M / SAGE
  Official implementation of paper "Stratified Avatar Generation from Sparse Observations"
  ☆20Updated 4 months ago
• boycehbz / HumanInteraction
  The code for CVPR 2024 paper "Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption"
  ☆37Updated 2 months ago