ruiningTang

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

ChatGLM3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

shap-e

Generate 3D objects conditioned on text or images

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

IP-Adapter

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Wonder3D

Single Image to 3D using Cross-Domain Diffusion for 3D Generation

zero123plus

Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Magic123

[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

image-background-remove-tool

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

T3Bench

T3Bench: Benchmarking Current Progress in Text-to-3D Generation

YOLOv8-PySide6-GUI

YoloSide - YOLOv8 GUI By PySide6

SyncDreamer

[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

MVDream

Multi-view Diffusion for 3D Generation

TEXTurePaper

Official Implementation for "TEXTure: Text-Guided Texturing of 3D Shapes"

MVDream

code page placeholder

StreamPETR

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

One2345plus

MVDream-threestudio

3D generation code for MVDream

ZeroNVS

ivid

PyTorch implementation of the ICCV paper "3D-aware Image Generation using 2D Diffusion Models"

DiffusionDepth

PyTorch Implementation of introducing diffusion approach to 3D depth perception

IT3D-text-to-3D

[AAAI'2024] IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

prolific_dreamer2d

Unofficial implementation of 2D ProlificDreamer

MasKD

Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.

BCKD

Official Implementation of Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection

Debiased-Score-Distillation-Sampling

Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation (D-SDS) | NeurIPS 2023

pygt5_learn

pyqt5的学习

MTPD

[ICML 2023] MTPD: Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation

B2C

quality_prediction