NVIDIA/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
Uses a coarse-to-fine generator architecture with multi-scale discriminators to enable photorealistic semantic label-to-image translation, supporting interactive real-time editing via instance-aware conditioning. Built in PyTorch with support for Automatic Mixed Precision training and multi-GPU distributed learning, scaling from 512x256 to full 2048x1024 resolution depending on available VRAM.
6,974 stars. No commits in the last 6 months. Available on PyPI.
Stars
6,974
Forks
1,416
Language
Python
License
—
Category
Last pushed
Nov 04, 2024
Commits (30d)
0
Dependencies
6
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/NVIDIA/pix2pixHD"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related models
GaParmar/clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
albertpumarola/GANimation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
yuanming-hu/exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets,...
yiranran/APDrawingGAN
Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical...
wuhuikai/GP-GAN
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending...