XMem VS NUWA

Compare XMem vs NUWA and see what are their differences.

XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model (by hkchengrex)

NUWA

A unified 3D Transformer Pipeline for visual synthesis (by microsoft)
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XMem NUWA
11 23
1,760 2,806
- 0.0%
6.3 3.3
8 months ago over 1 year ago
Python
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.

XMem

Posts with mentions or reviews of XMem. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-11.

NUWA

Posts with mentions or reviews of NUWA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-13.

What are some alternatives?

When comparing XMem and NUWA you can also consider the following projects:

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

CogVideo - text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

flash-attention - Fast and memory-efficient exact attention

DALLE2-video - Direct application of DALLE-2 to video synthesis, using factored space-time Unet and Transformers

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

min-dalle - min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

theseus - A library for differentiable nonlinear optimization

NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.

Cream - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/AutoML]

EfficientZero - Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

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