Radhakrishna Achanta

Computer Vision, Image Processing, Machine Learning, Start-ups

[Martin Nicolas Everaert @EveraertMartin]

🔥 Just released the code for our #WACV2024 paper "Exploiting the Signal-Leak Bias in Diffusion Models" 📄
🔗 Project page: https://t.co/ABggo7gLv3
👩‍💻 Code: https://t.co/HZw0b1mYll

[Martin Nicolas Everaert @EveraertMartin]

I presented our paper VETIM at #BMVC2023 three weeks ago!
🔍 It is possible to learn a single token representing a concept in Stable Diffusion using supervision only at the CLIP output and without mimicking visual features from sample images.
Check it out: https://t.co/6XdjCkh3YH

[Martin Nicolas Everaert @EveraertMartin]

✨ Excited to share our work “Exploiting the Signal-Leak Bias in Diffusion Models”!
🖼️ We turn a bias contained in diffusion models into a method to generate images in a desired style or color, or with a more natural color distribution.
https://t.co/LYERBeWXeI
(1/8) ⬇️

[Martin Nicolas Everaert @EveraertMartin]

🔍 Trying to fine-tune Stable Diffusion on images with a specific style? You'll get better results by also adapting the noise distribution to the style!

Check our #ICCV2023 paper: 📑https://t.co/crHmbec0jZ

Collaboration with @LargoAI, Dr. @rk_epfl and Prof. @ssusstrunk