
TomerG
@TomerG9
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Joined January 2020
CVPR was amazing! Here is the poster for the paper "Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)" that @TirerTom and I presented at #CVPR2025: Paper: https://t.co/GVPujcS7NK Code: https://t.co/bZOfmGXAKI CVPR: https://t.co/ukJxGmoYF0
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Beyond CMs, we show that our noise injection mechanism mitigates performance degradation in guided diffusion models at low NFEs.
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We propose a zero-shot restoration scheme using CMs that performs well **with just 4 NFEs!** Our method leverages: - Better initialization - Back-projection guidance - A novel noise injection mechanism We showcase its advantages for super-resolution, deblurring, and inpainting.
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Exciting news! Our paper, co-authored with @TirerTom, "Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)" is accepted to #CVPR2025! Check out our code here: https://t.co/bZOfmGX2Va. Excellent results **with only 4 NFEs!**
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CVPR was amazing! In case you missed it, here is our poster for "Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance". The code is available here: https://t.co/wBKy0oI7qI
I'll be presenting our work "Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance" tomorrow (June 21) in the PM poster session, poster #100! Drop by for a chat! Paper: https://t.co/lSiO5Z4ive Code:
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I'll be presenting our work "Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance" tomorrow (June 21) in the PM poster session, poster #100! Drop by for a chat! Paper: https://t.co/lSiO5Z4ive Code:
github.com
Contribute to tirer-lab/DDPG development by creating an account on GitHub.
Check the code for our CVPR 2024 paper: "Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance" https://t.co/EDtx26gVB9 where we propose a novel guidance and use it to design PnP and diffusion based frameworks, highlighting their interconnection
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