NUWA VS dramatron

Compare NUWA vs dramatron and see what are their differences.

NUWA

A unified 3D Transformer Pipeline for visual synthesis (by microsoft)

dramatron

Dramatron uses large language models to generate coherent scripts and screenplays. (by google-deepmind)
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NUWA dramatron
23 11
2,794 908
-0.0% 0.6%
3.3 5.5
11 months ago about 2 months ago
Jupyter Notebook
- Apache License 2.0
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.

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.

dramatron

Posts with mentions or reviews of dramatron. 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 NUWA and dramatron you can also consider the following projects:

CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"

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

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

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

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

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

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

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

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking