Skip to content
View c77g's full-sized avatar
  • South China University of Technology
  • guangzhou
  • 23:03 (UTC +08:00)

Highlights

  • Pro

Block or report c77g

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Showing results

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

HTML 16,094 4,566 Updated Nov 28, 2025

The official Pytorch implementation of paper RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation

Python 7 Updated Apr 23, 2025

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

Python 4,260 3,763 Updated Dec 17, 2025

Code release for NeRF (Neural Radiance Fields)

Jupyter Notebook 10,724 1,443 Updated Apr 12, 2025

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Python 4,183 464 Updated Jan 3, 2025

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

Python 8,788 772 Updated Dec 10, 2023

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Python 32,132 6,617 Updated Dec 19, 2025

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Python 154,056 31,493 Updated Dec 19, 2025

✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Jupyter Notebook 15,382 1,786 Updated Dec 18, 2025

[CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

Python 46 6 Updated May 14, 2024

[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

Python 457 37 Updated Dec 16, 2024