pixel-nerf
Image-to-scene generator
Software for generating 3D scenes from limited images using neural networks
PixelNeRF Official Repository
1k stars
23 watching
198 forks
Language: Python
last commit: 5 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
wu-cvgl/bad-nerf | A system that jointly learns 3D representation and camera motion from blurry images to generate sharp images | 189 |
pixart-alpha/pixart-sigma | Develops a PyTorch model for 4K text-to-image generation using diffusion transformer | 1,681 |
ashawkey/torch-ngp | A PyTorch implementation of NeRF (Neural Radiance Fields) and related techniques for 3D rendering and reconstruction | 2,112 |
ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,049 |
ypxie/hdgan | A PyTorch implementation of an adversarial network for generating high-definition images from text descriptions. | 150 |
yangxy/pasd | An open source software project that enables advanced image processing tasks such as super-resolution and stylization using a deep learning-based approach | 899 |
hanzhanggit/stackgan | A PyTorch implementation of a generative adversarial network for image synthesis from text descriptions | 1,860 |
neuralix/google_evolution | A Python implementation of an exotic image classifier architecture inspired by Google's evolution of image classifiers | 53 |
tsoding/olive.c | A 2D graphics library that generates pixel data without dependencies. | 1,878 |
pixray/pixray | An image generation system built around CLIP and GAN techniques. | 1,027 |
akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,777 |
dogyoonlee/dp-nerf | Deblurring technique using neural radiance fields with physical scene priors | 82 |
fitoprincipe/geebap | Creates composites from satellite imagery by identifying the best available pixel based on a set of criteria | 84 |
one-2-3-45/one-2-3-45 | An open-source project that enables the generation of 3D mesh models from single images in under a minute. | 1,567 |