text-to-motion
AvatarCLIP
text-to-motion | AvatarCLIP | |
---|---|---|
1 | 4 | |
399 | 1,017 | |
- | - | |
3.0 | 0.0 | |
4 months ago | about 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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text-to-motion
AvatarCLIP
- Half way in my AA college career and just started my electives. Need help
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[R] Text to 3D characters + expression editing + pose generation
Based on similar works CLIPActor and AvatarCLIP the codebase implements similar pipeline using mesh and differentiable rasterization to provide a spedeup allowing for ~10 min character generation on a weak Google Colab GPU
- "AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars", Hong et al 2022 (crosspost of another user's post)
- "AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars", Hong et al 2022
What are some alternatives?
MotionGPT - [NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
CIPS-3D - 3D-aware GANs based on NeRF (arXiv).
MotionDiffuse - MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
multinerf - A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.