Show HN: Feedback on Sketch Colourisation https://ift.tt/y6k5UAH

Show HN: Feedback on Sketch Colourisation Hi I am looking for some feedback on our new project "Sketch Colourisation". The envisioned UI and objectives are -- * An artist should have greater control on how to colour a sketch. While a text-to-image model lacks this fine-grained control, a per-pixel colourisation pipeline makes sketch colourisation a laborious process with high-entry barrier. * What if an artist only draws a mask for a local region and specifies the colour palette for that local region? Then a neural network figures out how to colour the overall sketch -- while maintaining those local colour palette. [I would really like a feedback if the above UI (i.e., mask and local colour palette) makes sense to users/designers. As researchers, we often have the wrong idea of what is desired by end-users.] * On the exact implementation of the above concept, we designed a no-training based neural network framework -- and also make sure it runs on a Nvidia 4090. In other words, I will try to avoid any expensive training or inference -- which defeats the purpose of being useful to people (not just some research labs). * Note, I am not so bothered about the exact implementation (or whether it is "novel") -- as long as it is useful. * A shameless advertisement: The codebase ( https://ift.tt/qOYKlHg ) is MIT License. It is no way near to being useful to people -- but I would really like to pursue this direction and your feedback/criticism will be immensely helpful. Thanks https://ift.tt/xWKB3JL June 22, 2024 at 06:33PM

Komentar

Posting Komentar

Postingan populer dari blog ini

Show HN: Interactive exercises for GNU grep, sed and awk https://ift.tt/OxeFwah

Show HN: Interactive exercises for GNU grep, sed and awk Hello! For the past few months, I've been using a Python framework called Textual to create TUI apps for interactive exercises. Released the app for GNU awk earlier today, so thought I'd create a post here. If you already know how to manage Python packages, you can use the following command to get all the three apps: pip install grepexercises sedexercises awkexercises `pipx` should also work, but I haven't tested it. The GitHub repo has the source code as well as more detailed installation instructions. You can use alternative CLI tools to solve these exercises as well. For example, Perl instead of GNU awk or ripgrep instead of GNU grep and so on. Hope you find these TUI apps useful. I'd highly appreciate your feedback. Happy learning :) https://ift.tt/Hp9kFEi August 17, 2023 at 05:13PM
Baca selengkapnya

Show HN: Create demos & guides just with a simple prompt https://ift.tt/HfWo3mz

Show HN: Create demos & guides just with a simple prompt Teams often create demos & guides on a daily basis. But creating them is time consuming and needs a lot of effort. From content to the branding, customizations, and many more - they are not something you would want to do on a daily basis. Enter Fable. Purpose built for teams in marketing, sales & customer success. Fable is apt for engaging visitors, closing deals faster, and onboarding your users quickly. https://ift.tt/IVCbkiG October 17, 2024 at 08:32PM
Baca selengkapnya