pi-GAN-pytorch VS nerf

Compare pi-GAN-pytorch vs nerf and see what are their differences.

pi-GAN-pytorch

Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch (by lucidrains)

nerf

Code release for NeRF (Neural Radiance Fields) (by bmild)
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pi-GAN-pytorch nerf
1 6
114 9,248
- -
0.0 0.0
about 3 years ago 5 months ago
Python Jupyter Notebook
MIT License MIT License
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pi-GAN-pytorch

Posts with mentions or reviews of pi-GAN-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning pi-GAN-pytorch yet.
Tracking mentions began in Dec 2020.

nerf

Posts with mentions or reviews of nerf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-27.

What are some alternatives?

When comparing pi-GAN-pytorch and nerf you can also consider the following projects:

colmap - COLMAP - Structure-from-Motion and Multi-View Stereo

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

awesome-NeRF - A curated list of awesome neural radiance fields papers

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

CIPS-3D - 3D-aware GANs based on NeRF (arXiv).

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

TensoRF - [ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

nerfmm - (Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

instant-ngp-Windows - Instant neural graphics primitives: lightning fast NeRF and more

Papers-in-100-Lines-of-Code - Implementation of papers in 100 lines of code.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"