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GuyTevet avatar

GuyTevet/MotionCLIP

0
View on GitHub↗
497 stars·47 forks·Python·MIT·14 views

MotionCLIP

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space".

Features

  • 3D Generation - Exposing human motion generation to CLIP space.
  • Motion Generation - Maps human motion generation into the CLIP latent space.

Star history

Star history chart for guytevet/motionclipStar history chart for guytevet/motionclip

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with MotionCLIP

These projects share indexed features with MotionCLIP. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • athn-nik/teachA

    athn-nik/teach

    0View on GitHub↗

    TEACH: Temporal Action Compositions for 3D Humans Nikos Athanasiou · Mathis Petrovich · Michael J. Black · Gül Varol 3DV 2022

    View on GitHub↗0
  • autodeskailab/clip-forgeAutodeskAILab avatar

    AutodeskAILab/Clip-Forge

    398View on GitHub↗

    Generating shapes using natural language can enable new ways of imagining and creating the things around us. While significant recent progress has been made in text-to-image generation, text-to-shape generation remains a challenging problem due to the unavailability of paired text and shape data…

    Python
    View on GitHub↗398
  • cassiepython/clipnerfcassiePython avatar

    cassiePython/CLIPNeRF

    263View on GitHub↗

    CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

    Python
    View on GitHub↗263
  • athn-nik/sincA

    athn-nik/sinc

    0View on GitHub↗

    SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation Nikos Athanasiou · Mathis Petrovich · Michael J. Black · Gül Varol ICCV 2023 Official PyTorch implementation of the paper "SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation"

    View on GitHub↗0
Compare all 13 related projects→

Frequently asked questions

What does guytevet/motionclip do?

Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space".

What are the main features of guytevet/motionclip?

The main features of guytevet/motionclip are: 3D Generation, Motion Generation.

Which projects share features with guytevet/motionclip?

Projects with overlapping indexed features include: athn-nik/teach — TEACH: Temporal Action Compositions for 3D Humans Nikos Athanasiou · Mathis Petrovich · Michael J. Black · Gül… autodeskailab/clip-forge — Generating shapes using natural language can enable new ways of imagining and creating the things around us. While… cassiepython/clipnerf — CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields. guytevet/motion-diffusion-model — This is a PyTorch deep learning framework and tool for human motion synthesis that generates 3D character animations… hongfz16/avatarclip — AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars. athn-nik/sinc — SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation Nikos Athanasiou · Mathis Petrovich ·…