Tomer Michaeli

Professor at @TechnionLive

[Tomer Michaeli @t_michaeli]

Check out our new video editing method 🎉
It allows editing motion, interactions, and contents in videos using only text. And it's training-free! 🤯
with @vd_kulikov @Roni_Paiss @kusichan @inbar_mosseri @talidekel

[Vova Kulikov @vd_kulikov]

Video editing just got more dynamic! 🚀
Thrilled to share DynaEdit: a training-free, text-based method for non-rigid video editing.
Work done during my internship at @GoogleDeepMind with @Roni_Paiss, @kusichan, @inbar_mosseri, @talidekel, @t_michaeli
https://t.co/l5uKGwL7cT

[Tamar Rott Shaham @TamarRottShaham]

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 @t_michaeli]

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

[Inbar Huberman-Spiegelglas @inbarhub]

🎉 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

[Inbar Huberman-Spiegelglas @inbarhub]

📷  FlowEdit has been accepted to @ICCVConference

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

Check out:
code https://t.co/AxIZkCPUFH
webpage https://t.co/ZENFdmjVcR
space to edit your images - https://t.co/ei6YCJgDNt
great ComfyUI plugins (@logtdx) https://t.co/NXrV43EqTS

[Guy Ohayon @guy__ohayon]

@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!

[Daniel Garibi @DanielGaribi]

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

[Daniel Garibi @DanielGaribi]

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 result.
https://t.co/MMr8Ssv9cx
#SIGGRAPH2025

[Hila Manor @hila8manor]

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: https://t.co/xY0EZI0lUu

[Tomer Michaeli @t_michaeli]

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

[Inbar Huberman-Spiegelglas @inbarhub]

🎉We are excited to present FlowEdit🎉

Edit real images with flow models!

Paper: https://t.co/Qu8oQQKXGR
Website: https://t.co/ZENFdmjVcR
Code: https://t.co/AxIZkCPUFH
Space: https://t.co/ei6YCJgDNt

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

[Guy Ohayon @guy__ohayon]

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: https://t.co/sNOh24KmYp

(w/@t_michaeli)

[Inbar Huberman-Spiegelglas @inbarhub]

#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!

[Tomer Michaeli @t_michaeli]

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):
https://t.co/hOzcff5gj3

[Inbar Huberman-Spiegelglas @inbarhub]

Accepted to #ICML2024! 🥳

🎬Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices🎬 @icmlconf

Website: https://t.co/ZWONNZWLiX
Paper: https://t.co/bXc4dLoyds

W/ the amazing
Nathaniel Cohen
@vd_kulikov
@MatanKleiner
@t_michaeli

[Tomer Michaeli @t_michaeli]

@2ptmvd The catch is that predictors with this property are necessarily not consistent with the measurements.
The only predictor that achieves perfect perceptual quality and is also consistent with the measurements is the posterior sampler.
https://t.co/TVG6Q6dJyA
@guy__ohayon

[Tomer Michaeli @t_michaeli]

@2ptmvd Posterior sampling indeed leads to perfect perceptual quality at the cost of a 2x increase in MSE w.r.t. the posterior mean predictor.
But you can often get perfect perceptual quality with a smaller increase in MSE.
A closed form for the P-D function:
https://t.co/F63BZkvoDG

[Noa Cohen @n_cohen_]

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: https://t.co/FJQZK2dknU

[Hila Manor @hila8manor]

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)!

https://t.co/i6AgvHf6E7

[Theoretically Media @TheoMediaAI]

Everything THREE! Claude and Stable Diffusion! Plus: Music Editing w/ Zeta (ft @hila8manor), and a look at Relighting in @skyglassapp from @beeble_ai
LINK: https://t.co/llhUqCe6En

[Hila Manor @hila8manor]

Our (@t_michaeli) Text-Based Audio Editing method now has an interactive space🤗
🎶Try it out on your own audio🎶: https://t.co/vrsc8cKzWC

Paper: https://t.co/Kn8LHLiqlH
Project page: https://t.co/MQvYZl1GOy