digan VS MESH2IR

Compare digan vs MESH2IR and see what are their differences.

digan

Official PyTorch implementation of Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (ICLR 2022). (by sihyun-yu)

MESH2IR

This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh. (by anton-jeran)
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digan MESH2IR
3 1
180 68
- -
0.0 5.2
about 1 year ago 13 days ago
Python Python
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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.

digan

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

MESH2IR

Posts with mentions or reviews of MESH2IR. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing digan and MESH2IR you can also consider the following projects:

PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

InternGPT - InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)