ruiningTang

ruiningTang's Stars

• Lightning-AI/pytorch-lightning

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

  Language:Python27.2k2456.9k3.3k

• THUDM/ChatGLM3

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

  Language:Python12.7k987291.5k

• openai/shap-e

  Generate 3D objects conditioned on text or images

  Language:Python11.4k238109902

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook10.8k963321.4k

• xxlong0/Wonder3D

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

  Language:Python4.4k45159344

• tencent-ailab/IP-Adapter

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

  Language:Jupyter Notebook4.2k57325273

• SUDO-AI-3D/zero123plus

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

  Language:Python1.5k2763104

• guochengqian/Magic123

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

  Language:Jupyter Notebook1.5k555091

• OPHoperHPO/image-background-remove-tool

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

  Language:Python1.3k3574265

• THU-LYJ-Lab/T3Bench

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

  Language:Python1.1k187

• Jai-wei/YOLOv8-PySide6-GUI

  YoloSide - YOLOv8 GUI By PySide6

  Language:Python860520135

• liuyuan-pal/SyncDreamer

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

  Language:Python805226338

• TEXTurePaper/TEXTurePaper

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

  Language:Python681235057

• bytedance/MVDream

  Multi-view Diffusion for 3D Generation

  Language:Python678203147

• MV-Dream/MVDream

  code page placeholder

  57796199

• exiawsh/StreamPETR

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

  Language:Python4941319854

• SUDO-AI-3D/One2345plus

  4685395

• bytedance/MVDream-threestudio

  3D generation code for MVDream

  Language:Python449192730

• kylesargent/ZeroNVS

  Language:Python41591922

• JeffreyXiang/ivid

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

  Language:Python29347114

• duanyiqun/DiffusionDepth

  PyTorch Implementation of introducing diffusion approach to 3D depth perception

  Language:Python25594114

• buaacyw/IT3D-text-to-3D

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

  Language:Python2059811

• yuanzhi-zhu/prolific_dreamer2d

  Unofficial implementation of 2D ProlificDreamer

  Language:Python1281156

• hunto/MasKD

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

  Language:Python58155

• TinyTigerPan/BCKD

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

  Language:Python45232

• SusungHong/Debiased-Score-Distillation-Sampling

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

  3820

• poplangfan/pygt5_learn

  pyqt5的学习

  Language:Python21207

• gftww/B2C

  Language:Python60

• Shengcao-Cao/MTPD

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

  Language:Python6113

• Donghao-Zhang/quality_prediction

  Language:Python31