crockwell/pixelsynth
[ICCV 2021] PixelSynth: Generating a 3D-Consistent Experience from a Single Image
This project helps researchers and creators generate a realistic, immersive 3D scene that users can explore from different viewpoints, all starting from just one regular 2D image. It takes a single photograph as input and outputs a navigable 3D experience. This is ideal for anyone in fields like virtual reality, architectural visualization, or digital content creation who needs to bring static images to life.
117 stars. No commits in the last 6 months.
Use this if you need to transform a single flat image into an interactive 3D scene where users can virtually move around and view the subject from various angles.
Not ideal if you require precise 3D measurements or CAD-level accuracy, as this focuses on visual immersion rather than geometric precision.
Stars
117
Forks
10
Language
Python
License
—
Category
Last pushed
Aug 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/crockwell/pixelsynth"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pathak22/context-encoder
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
knazeri/edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019...
shepnerd/inpainting_gmcnn
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
youyuge34/Anime-InPainting
An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
otenim/GLCIC-PyTorch
A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".