dhinz94

dhinz94's Stars

• azad-academy/denoising-diffusion-model

  A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

  Language:Jupyter Notebook20933

• Zielon/INSTA

  INSTA - Instant Volumetric Head Avatars [CVPR2023]

  Language:C++46039

• ashawkey/torch-ngp

  A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

  Language:Python2.1k281

• mikonvergence/DiffusionFastForward

  DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

  Language:Jupyter Notebook61457

• CorentinJ/Real-Time-Voice-Cloning

  Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python53.1k8.8k

• danielroich/PTI

  Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744

  Language:Jupyter Notebook910114

• cvlab-kaist/3DGAN-Inversion

  Official Implementation of WACV 2023 paper "3D GAN Inversion with Pose Optimization".

  Language:Python10913

• Kanaries/pygwalker

  PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

  Language:Python13.7k712

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook69k10.2k

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python4k383

• MingwuZheng/ImFace

  The official code for "ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations" presented at CVPR 2022, along with its extended version ImFace++.

  Language:Python1648

• AvLab-CV/AgeTransGAN

  Language:Python172

• SelfishGene/SFHQ-dataset

  Synthetic Faces High Quality (SFHQ) Dataset. 425,000 curated 1024x1024 synthetic face images

  Language:Python2276

• omertov/encoder4editing

  Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

  Language:Jupyter Notebook950155

• SelfishGene/visual_taste_approximator

  Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste

  Language:Python395

• hmdolatabadi/denoising_diffusion

  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)

  Language:Python9012

• nihalsid/stylegan2-ada-lightning

  Simplified pytorch lightning port of StyleGAN2-ADA

  Language:Python336

• kwea123/ngp_pl

  Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

  Language:Jupyter Notebook1.3k157

• MrTornado24/FENeRF

  [CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields

  Language:Python22918

• ashleve/lightning-hydra-template

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

  Language:Python4.4k662

• advimman/CIPS

  Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)

  Language:Python20736

• kakaobrain/nerf-factory

  An awesome PyTorch NeRF library

  Language:Python1.3k108

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.7k1.3k

• eps696/stylegan2ada

  StyleGAN2-ada for practice

  Language:Python17628

• royorel/StyleSDF

  Language:Python53650

• apple/ml-mobileone

  This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

  Language:Swift74163

• apple/ml-gmpi

  [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI

  Language:Python34333

• yashbhalgat/HashNeRF-pytorch

  Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

  Language:Python977102

• sunset1995/DirectVoxGO

  Direct voxel grid optimization for fast radiance field reconstruction.

  Language:Python1.1k110

• gordicaleksa/pytorch-neural-style-transfer

  Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

  Language:Python38380