leopoldmaillard

leopoldmaillard's Stars

• subin-kim-cv/CSD

  Collaborative Score Distillation for Consistent Visual Synthesis (NeurIPS 2023)

  Language:Python1132

• 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 Notebook1.6k94

• apple/ml-gsn

  Language:Python29942

• thu-ml/prolificdreamer

  ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

  Language:Python1.5k45

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.7k1.3k

• jannerm/ddpo

  Code for the paper "Training Diffusion Models with Reinforcement Learning"

  Language:Python37426

• QiuhongAnnaWei/LEGO-Net

  LEGO-Net: Learning Regular Rearrangements of Objects in Rooms (CVPR 2023)

  Language:Python9116

• TiankaiHang/Min-SNR-Diffusion-Training

  [ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy

  Language:Python2347

• openai/shap-e

  Generate 3D objects conditioned on text or images

  Language:Python11.7k957

• davidbwaters/macos-modern-vscode-theme

  MacOS Modern is a theme pack styled to match native MacOS as closely as possible. Use recommended settings in the README.md for best results.

  Language:JavaScript7212

• apple/ml-hypersim

  Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

  Language:Python1.7k134

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k637

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k661

• scenediffuser/Scene-Diffuser

  Official implementation of CVPR23 paper "Diffusion-based Generation, Optimization, and Planning in 3D Scenes"

  Language:Python36825

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k594

• owkin/GrAIdient

  GrAIdient is a deep learning framework that aims at challenging the way we train and run models.

  Language:Swift852

• Shiriluz/Word-As-Image

  Language:Python1.1k83

• ali-vilab/composer

  Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"

  1.5k48

• zillow/zind

  Zillow Indoor Dataset

  Language:Python18114

• eyalmazuz/Diffusion

  Language:Python1

• tanelp/tiny-diffusion

  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

  Language:Jupyter Notebook69056

• zoomin-lee/scene-scale-diffusion

  The official implementation for "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"

  Language:Python1648

• threedle/GeoCode

  GeoCode maps 3D shapes to a human-interpretable parameter space, allowing to intuitively edit the recovered 3D shapes from a point cloud or sketch input.

  Language:Python38425

• openai/point-e

  Point cloud diffusion for 3D model synthesis

  Language:Python6.6k763

• facebookresearch/multimodal

  TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

  Language:Python1.5k145

• apple/ml-gaudi

  61522

• pals-ttic/sjc

  Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)

  Language:Python50916

• crowsonkb/k-diffusion

  Karras et al. (2022) diffusion models for PyTorch

  Language:Python2.4k383

• nv-tlabs/GET3D

  Language:Python4.3k383

• Anciukevicius/RenderDiffusion

  29511