Video-P2P VS Paint-by-Sketch

Compare Video-P2P vs Paint-by-Sketch and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Video-P2P Paint-by-Sketch
1 2
332 167
2.7% -
3.0 3.6
about 2 months ago about 1 year ago
Python 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.

Video-P2P

Posts with mentions or reviews of Video-P2P. We have used some of these posts to build our list of alternatives and similar projects.

Paint-by-Sketch

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

What are some alternatives?

When comparing Video-P2P and Paint-by-Sketch you can also consider the following projects:

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

diffusiondb - A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

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

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

stable_diffusion_playground - Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.

Paint-by-Example - Paint by Example: Exemplar-based Image Editing with Diffusion Models