PeterouZh

CIPS-3D

3D-aware GANs based on NeRF (arXiv).

CIPS-3Dplusplus

3D GAN inversion

Deep_Generative_Models

A collection of papers I am interested in.

HRInversion

A minimal PyTorch implementation of VGG perceptual loss.

instruct-nerf2nerf

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions (ICCV 2023)

template_lib

Baichuan2

A series of large language models developed by Baichuan Intelligent Technology

LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

baby-llama2-chinese

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

chinese-llama-tokenizer

目标：构建一个更符合语言学的 llama 中英文分词器

Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

GaussianEditor

grounded-segment-any-parts

Grounded Segment Anything: From Objects to Parts

Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

lm-watermarking

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

nerfstudio-method-template

Template repository for creating and registering new methods in NerfStudio.

PeterouZh

PointAvatar

Official Repository for CVPR 2023 paper PointAvatar: Deformable Point-based Head Avatars from Videos.

PyMAF-X

PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

smplpix

SMPLpix: Neural Avatars from 3D Human Models

stable-diffusion-webui

Stable Diffusion web UI

stable-diffusion-webui-extension-templates

a template of stable-diffusion-webui extension

stable-dreamfusion

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