StyleSwin VS Mask3D

Compare StyleSwin vs Mask3D and see what are their differences.

Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D. (by JonasSchult)
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StyleSwin Mask3D
1 1
462 462
0.0% -
0.0 4.4
about 1 year ago 6 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

StyleSwin

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

Mask3D

Posts with mentions or reviews of Mask3D. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing StyleSwin and Mask3D you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

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

courses - This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

Anime2Sketch - A sketch extractor for anime/illustration.

facetorch - Python library for analysing faces using PyTorch

ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)