@tnarek99 Profile picture

Narek Tumanyan

@tnarek99

PhD student in Computer Vision at @WeizmannScience.

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Excited to present DINO-Tracker (accepted to #ECCV2024)! A novel self-supervised method for long-range dense tracking in video, which harnesses the powerful visual prior of DINO. Project page: dino-tracker.github.io. [1/4] @assaf_singer @OneViTaDay @talidekel


Narek Tumanyan Reposted

Superised to find that Google Deepmind released a benchmark for Tracking Any Point in 3D (TAPVid-3D)! 😍 tapvid3d.github.io I believe human perceptions for low level motions is not just those 2D flows. We understand 3D dynamics and motions!


Narek Tumanyan Reposted

[1/5] Always wondered what people see when looking at a Rorschach test? SpaText - our recent #CVPR2023 paper from @MetaAI may give you a sneak peek! TL;DR: We extend text-to-image models with region-specific textual controllability. Project Page: omriavrahami.com/spatext/


Narek Tumanyan Reposted

Plug-and-Play accepted to #CVPR2023 :-) Congrats PnP team: @tnarek99 @GeyerMichal @OneViTaDay!

The code for Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation is out github.com/MichalGeyer/pl…



Narek Tumanyan Reposted

Neural Congealing: Aligning Images to a Joint Semantic Atlas abs: arxiv.org/abs/2302.03956 project page: neural-congealing.github.io


Narek Tumanyan Reposted

SceneScape: Text-Driven Consistent Scene Generation abs: arxiv.org/abs/2302.01133 project page: scenescape.github.io text-driven perpetual view generation -- synthesizing long videos of arbitrary scenes solely from an input text describing the scene and camera poses


Narek Tumanyan Reposted

Billion params text-to-image models are amazing! But...not designed for editing real-world images/videos. Text2LIVE (ECCV oral) trains on 1 example and allows for various semantic, localized editing! text2live.github.io @omerbartal @dolevofri @RafailFridman @yoni_kasten 1/3


Narek Tumanyan Reposted

Text2LIVE: Text-Driven Layered Image and Video Editing abs: arxiv.org/abs/2204.02491 project page: text2live.github.io


Excited to share that our paper was accepted to CVPR 2022!

"Splicing ViT Features for Semantic Appearance Transfer", CVPR’22! If you want to know what it is NOT: NO pre-trained GANs or Diffusion models NO input segmentation masks NOT restricted to specific image domains splice-vit.github.io @omerbartal @tnarek99 @OneViTaDay



Narek Tumanyan Reposted

I'm going to use this tweeter account to post feature visualizations of various ViT models. The first one, ViT base patch32 trained on ImageNet1k. Showing channel 980 (class "volcano").

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Narek Tumanyan Reposted

Always a great fun when Two Minute Papers covers your work! w/ @yoni_kasten @dolevofri @oliverwang81

New AI: This Is The Next Level Of Video Editing! 🤯 ▶️Full video (ours): youtu.be/MCq0x01Jmi0 📜Source paper: layered-neural-atlases.github.io #adobe #ai #twominutepapers #whatatimetobealive #holdontoyourpapers



Narek Tumanyan Reposted

We as SOAD have just released new music for the first time in 15 years. The time to do this is now, as together, the four of us have something extremely important to say as a unified voice. Read our full statement at SystemOfADown.bandcamp.com. #ProtectTheLand #GenocidalHumanoidz

Tweet Image 1

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