t_michaeli's profile picture. Associate Professor at @TechnionLive; Visiting Faculty Researcher at @Google

Tomer Michaeli

@t_michaeli

Associate Professor at @TechnionLive; Visiting Faculty Researcher at @Google

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Happy to share that FlowEdit received the Best Student Paper Award at @ICCVConference 🎉 Huge congrats to the team: @vd_kulikov, @MatanKleiner, @inbarhub


Tomer Michaeli 已轉發

A key challenge for interpretability agents is knowing when they’ve understood enough to stop experimenting. Our @NeurIPSConf paper introduces a self-reflective agent that measures the reliability of its own explanations and stops once its understanding of models has converged.

TamarRottShaham's tweet image. A key challenge for interpretability agents is knowing when they’ve understood enough to stop experimenting. 
Our @NeurIPSConf paper introduces a self-reflective agent that measures the reliability of its own explanations and stops once its understanding of models has converged.

Tomer Michaeli 已轉發

🎉 Excited to share that FlowEdit paper got accepted as an ORAL presentation at @ICCVConference! 🎉 See you in Honolulu! 🌺 Thanks to the amazing team @vd_kulikov, @MatanKleiner, @t_michaeli

📷  FlowEdit has been accepted to @ICCVConference Edit real images with text-to-image flow models! Check out: code github.com/fallenshock/Fl… webpage matankleiner.github.io/flowedit/ space to edit your images - huggingface.co/spaces/fallens… great ComfyUI plugins (@logtdx) matankleiner.github.io/flowedit/#comfy

inbarhub's tweet image. 📷  FlowEdit has been accepted to @ICCVConference

Edit real images with text-to-image flow models!

Check out:
code github.com/fallenshock/Fl…
webpage matankleiner.github.io/flowedit/
space to edit your images - huggingface.co/spaces/fallens…
great ComfyUI plugins (@logtdx) matankleiner.github.io/flowedit/#comfy


Tomer Michaeli 已轉發

📷  FlowEdit has been accepted to @ICCVConference Edit real images with text-to-image flow models! Check out: code github.com/fallenshock/Fl… webpage matankleiner.github.io/flowedit/ space to edit your images - huggingface.co/spaces/fallens… great ComfyUI plugins (@logtdx) matankleiner.github.io/flowedit/#comfy

inbarhub's tweet image. 📷  FlowEdit has been accepted to @ICCVConference

Edit real images with text-to-image flow models!

Check out:
code github.com/fallenshock/Fl…
webpage matankleiner.github.io/flowedit/
space to edit your images - huggingface.co/spaces/fallens…
great ComfyUI plugins (@logtdx) matankleiner.github.io/flowedit/#comfy

Tomer Michaeli 已轉發

@hila8manor and I will present our work tomorrow at @icmlconf, 4:30PM😊 Stop by our poster to learn more about compressed image generation using diffusion models!

🎉Excited to present DDCM w/ @hila8manor, @t_michaeli & M. Elad🎉 DDCM is a simple diffusion-based generative process capable of sampling images directly in their compressed form. We achieve SoTA perceptual image compression results. Webpage & Demo🤗: ddcm-2025.github.io

guy__ohayon's tweet image. 🎉Excited to present DDCM w/ @hila8manor, @t_michaeli  & M. Elad🎉
DDCM is a simple diffusion-based generative process capable of sampling images directly in their compressed form. 

We achieve SoTA perceptual image compression results.

Webpage & Demo🤗: ddcm-2025.github.io


Tomer Michaeli 已轉發

Thrilled to share that our paper TokenVerse received a Best Paper Award at #SIGGRAPH2025! 🎉

Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent…



Tomer Michaeli 已轉發

Excited to share that "TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space" got accepted to SIGGRAPH 2025! It tackles disentangling complex visual concepts from as little as a single image and re-composing concepts across multiple images into a coherent…


Tomer Michaeli 已轉發

Excited to present DDCM📖 with @guy__ohayon, @t_michaeli & M. Elad🎉 DDCM is a new generative approach that achieves SotA compression and is extendable to compressed conditional synthesis, all just w/ pre-trained diffusion models. Webpage &🤗Demo: ddcm-2025.github.io

hila8manor's tweet image. Excited to present DDCM📖 with @guy__ohayon, @t_michaeli & M. Elad🎉
DDCM is a new generative approach that achieves SotA compression and is extendable to compressed conditional synthesis, all just w/ pre-trained diffusion models.
Webpage &🤗Demo: ddcm-2025.github.io

FlowEdit allows editing real images with pre-trained text-to-image flow models. It is: - Optimization free - Model agnostic - Doesn't rely on inversion! @inbarhub, @vd_kulikov, @MatanKleiner

🎉We are excited to present FlowEdit🎉 Edit real images with flow models! Paper: arxiv.org/abs/2412.08629 Website: matankleiner.github.io/flowedit/ Code: github.com/fallenshock/Fl… Space: huggingface.co/spaces/fallens… Thanks to the amazing team: @vd_kulikov, @MatanKleiner and @t_michaeli.

inbarhub's tweet image. 🎉We are excited to present FlowEdit🎉

Edit real images with flow models!

Paper: arxiv.org/abs/2412.08629
Website: matankleiner.github.io/flowedit/
Code: github.com/fallenshock/Fl…
Space: huggingface.co/spaces/fallens…

Thanks to the amazing team: @vd_kulikov, @MatanKleiner and @t_michaeli.


Tomer Michaeli 已轉發

Posterior sampling for solving inverse problems? No thanks😉 Check out our new photo-realistic image restoration algorithm: Posterior-Mean Rectified Flow (PMRF). It (provably) outperforms posterior sampling. Project page: pmrf-ml.github.io (w/@t_michaeli)

guy__ohayon's tweet image. Posterior sampling for solving inverse problems? No thanks😉

Check out our new photo-realistic image restoration algorithm: Posterior-Mean Rectified Flow (PMRF). It (provably) outperforms posterior sampling.

Project page: pmrf-ml.github.io

(w/@t_michaeli)

Tomer Michaeli 已轉發

#cvpr2024 Want to see me as wonder woman, @vd_kulikov as superman, and @t_michaeli as ironman? DDPM inversion poster, tomorrow, Thursday 10:30 am, poster no 275!


How many input-output pairs from a trained model are required for stealing it? It turns out that for many image-restoration and image-to-image translation models, the answer is - ONLY ONE! Check out our paper (w/ @NuritSpingarn): arxiv.org/abs/2406.00828


Tomer Michaeli 已轉發

Accepted to #ICML2024! 🥳 🎬Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices🎬 @icmlconf Website: matankleiner.github.io/slicedit/ Paper: arxiv.org/abs/2405.12211 W/ the amazing Nathaniel Cohen @vd_kulikov @MatanKleiner @t_michaeli


Tomer Michaeli 已轉發

Excited to be in Vienna presenting our paper "From Posterior Sampling to Meaningful Diversity in Image Restoration" at #ICLR2024! (poster #77 at session 1) Grateful to my amazing co-authors @hila8manor @YuvalBahat @t_michaeli project page: noa-cohen.github.io/MeaningfulDive…


Tomer Michaeli 已轉發

Excited to share that our (@t_michaeli) paper, "On the Posterior Distribution in Denoising: Application to Uncertainty Quantification", was accepted to #ICLR2024! I'm going to be at @iclr_conf all week, come to my poster on May 8th (session 3, #218)! hilamanor.github.io/GaussianDenois…


Tomer Michaeli 已轉發

Everything THREE! Claude and Stable Diffusion! Plus: Music Editing w/ Zeta (ft @hila8manor), and a look at Relighting in @skyglassapp from @beeble_ai LINK: youtu.be/mw0-AiJbQiY

TheoMediaAI's tweet image. Everything THREE! Claude and Stable Diffusion! Plus: Music Editing w/ Zeta (ft @hila8manor), and a look at Relighting in @skyglassapp from @beeble_ai
LINK: youtu.be/mw0-AiJbQiY

Tomer Michaeli 已轉發

Our (@t_michaeli) Text-Based Audio Editing method now has an interactive space🤗 🎶Try it out on your own audio🎶: huggingface.co/spaces/hilaman… Paper: arxiv.org/abs/2402.10009 Project page: hilamanor.github.io/AudioEditing/


Tomer Michaeli 已轉發

Edit-friendly DDPM inversion has been accepted for @CVPR2024 🎉 Code: github.com/inbarhub/DDPM_… Project page: inbarhub.github.io/DDPM_inversion/ Check out our space (thanks @linoy_tsaban) to edit your own images: huggingface.co/spaces/linoyts… W/ the amazing @t_michaeli @vd_kulikov

inbarhub's tweet image. Edit-friendly DDPM inversion has been accepted for
@CVPR2024 🎉

Code: github.com/inbarhub/DDPM_… Project page: inbarhub.github.io/DDPM_inversion/ 

Check out our space (thanks @linoy_tsaban) to edit your own images: huggingface.co/spaces/linoyts…

W/ the amazing @t_michaeli @vd_kulikov

t_michaeli's tweet image.

Must diffusion models use a denoising objective? Check out our Classification Diffusion Models, which are based on classification rather than denoising. shaharyadin.github.io/CDM/



Must diffusion models use a denoising objective? Check out our Classification Diffusion Models, which are based on classification rather than denoising. shaharyadin.github.io/CDM/


Thanks @_akhaliq for sharing our work. Editing with pre-trained text-to-audio models is as simple as ever. No need for test-time optimization. With @hila8manor we explore zero-shot methods for both text-based editing and unsupervised modifications. hilamanor.github.io/AudioEditing/

Text-Based Audio Editing Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion paper page: huggingface.co/papers/2402.10… Editing signals using large pre-trained models, in a zero-shot manner, has recently seen rapid advancements in the image domain. However, this…



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