Assistant Professor at @cs_cornell and @cornell_tech
New York, NY
Joined May 2020
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Hadar Averbuch-Elor retweeted
Cornell (and me) is hiring postdocs, with focus on technical AI/ML research. Deadline for full consideration is Dec 15.
I am recruiting through this call as well. I encourage applying as early as possible, because I am starting to review folders now!
Application link ⬇️
Hadar Averbuch-Elor retweeted
Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models
@NickyDCFP, @YiwenZhangYZ, @ang3linawang, @ElorHadar
tl;dr: geographically 3D scene benchmark
arxiv.org/abs/2610.22514
One more #neurips2026 paper fresh out of the oven! If you're working on 3D reconstruction, consider evaluating on ArchWorld that spans multiple geographic regions and architecture types. Our work reveals geographic disparities in existing models, and explores how to reduce them🌎
How well do 3D foundation models reconstruct architecture from around the world? 🌍
Our #NeurIPS2026 paper introduces ArchWorld, a geographically diverse 3D scene benchmark, and ArchAttend, an inference-time intervention that improves regional disparities.
🧵
Hadar Averbuch-Elor retweeted
Multi-turn image editing is notoriously challenging: as edits accumulate, unintended changes and artifacts build up.
Not anymore!😁
Introducing ACEdit ♠️
A training approach that counteracts accumulated drift across successive image edits, preserving scene details as the changes add up.
🌐 saradorfman1.github.io/ACEdi…
1/5
Check out our new work that brings visual reuse to autoregressive video generation ‼️
Excited to also share PersistBench that explores whether 4D foundation models remember (TL;DR not really!) #NeurIPS2026
Excited to share our #NeurIPS2026 E&D 🏆 Spotlight!
We all agree that memory is essential for modeling a persistent 4D world.
But: 🙋 Can 4D Foundation Models Remember?
Introducing 🔥 PersistBench: a benchmark for testing visual memory in camera-controllable video models / 4D reconstruction models / video-to-360° models.
One key challenge in evaluating visual memory is obtaining real-world ground truth for what happens to an object after it leaves the camera’s view.
In PersistBench, we introduce a simple way to sidestep this challenge. 🤫
🌐 Project Page: guangzhaohe.com/persistbench…
🏆 Leaderboard: huggingface.co/spaces/therea…
🐙 GitHub: github.com/guangzhaohe/Persi…
🤗 Dataset: huggingface.co/datasets/ther…
See how well your models do and submit to our leaderboard today!
🧵 [1/n]
Very excited about our #NeurIPS2026 papers, including SceneAligner that aligns a 3D reconstruction of in-the-wild images with the 2D floorplan map!
Where on the floorplan was this photo taken? 📍
Excited to share SceneAligner, accepted to #NeurIPS2026!
We tackle this by reconstructing the scene in 3D and aligning it to the floorplan. Joint work with @ruojin8 @ElorHadar [1/8]
Hadar Averbuch-Elor retweeted
AI in creative writing raises a lot of complicated questions, including what meaningful human creative control should look like. Our #UIST2026 paper on Narrative Keyframing led by @zhangchaodesign explores this with inspiration from classic automation strategies used in animation
Excited to share 𝘕𝘢𝘳𝘳𝘢𝘵𝘪𝘷𝘦 𝘒𝘦𝘺𝘧𝘳𝘢𝘮𝘪𝘯𝘨, a new interaction technique for AI-assisted creative writing! #UIST2026
It’s inspired by a familiar idea from animation: 𝘬𝘦𝘺𝘧𝘳𝘢𝘮𝘪𝘯𝘨. (1/5)
Hadar Averbuch-Elor retweeted
This entire game was built using Claude + Thrixel, an agentic 3D creation platform.
Thrixel: Generated high-quality, thematically consistent, editable 3D assets.
Claude: Assembled in Unity + wrote game logic.
1 /goal prompt + Thrixel Skills + <5 follow-ups
Repo coming👇
Hadar Averbuch-Elor retweeted
What if AI could better illustrate not just people, but their interactions? 👥👥
Cornell researchers are teaching image-generation models to capture the subtle dynamics between multiple people, making AI-created scenes more realistic than ever. news.cornell.edu/stories/202… #CornellAI
If you're in SIGGRAPH, Etai, Hao and Wenxuan will be happy to show you what they've been up to :) @etai_sella @tienhaophung @peng_wenxuan
cornell-vailab.github.io/Peo…
cornell-vailab.github.io/Ras…
etaisella.github.io/Prox-E/
snap-research.github.io/Loos…
Happy SIGGRAPH 2026 to all who celebrate!
This year I'll be presenting 2 papers + an interactive demo:
Prox-E — 7/20, 11:35am · Room 408B
etaisella.github.io/Prox-E/
LooseRoPE — 7/23, 11:25am · Room 408B
Demo — 7/22, 12:20pm · Concourse Hall
snap-research.github.io/Loos…
See you there!
Long multi-view video generation is now possible with MV-Forcing! #eccv2026
Excited to announce that "MV-Forcing" has been accepted to #ECCV2026! 🎉
Current methods generate long single-view videos or short multi-view videos, but not both. To bridge this gap, we present MV-Forcing, the first framework for long multi-view video generation.
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Hadar Averbuch-Elor retweeted
Thank you, Humphrey! It's a real honor to receive this award!
Congratulations to Noah Snavely @Jimantha from @Cornell receiving the 2026 Thomas S. Huang Memorial Prize at @CVPR — a well-deserved recognition of his impactful contributions to computer vision research and our community.
Remembering Tom & Margaret: youtu.be/QV7WnO9Lk9M?si=iYmA…
I'll be presenting some of our recent works at the AI for Visual Arts (Room 4AB, 9am), Spatial Intelligence for Cultural Heritage (Room 708, 2:15pm) and the What is Next in Multimodal Foundation Models? (Room 3A, 4pm) workshops at @CVPR tomorrow. Please join if you're around!
Hadar Averbuch-Elor retweeted
Cycle consistency is a powerful and cool idea.
Here we use it to learn image decomposition: decompose an image into components, recombine them, and enforce consistency both ways.
A cool training principle with surprisingly strong results.
Our paper on image decomposition is accepted at #CVPR2026!
We explore visual in-context learning to decompose nonlinearly mixed layers in images.
🌐 Project page: vcc.tech/research/2026/ImgDe…
📄 Paper: arxiv.org/abs/2602.20989
💻 Code (Coming soon): github.com/edward3862/ImgDec…
Hadar Averbuch-Elor retweeted
🚀 #CVPR2026 Accepted!🚀
Thrilled to share that my first-authored undergraduate paper, “Emergent Extreme-View Geometry in 3D Foundation Models,” has been accepted to CVPR 2026! 🎉
Looking forward to seeing many of you in Denver! ✈️
Project page: ext-3dfms.github.io/
Hadar Averbuch-Elor retweeted
This is a great program for folks interested in postdocs @Cornell. For vision/graphics folks interested in NYC, @ElorHadar, @andrewhowens, and I are potentially recruiting a joint postdoc. Please apply!
.@Cornell is recruiting for multiple postdoctoral positions in AI as part of two programs: Empire AI Fellows and Foundational AI Fellows. Positions are available in NYC and Ithaca.
Deadline for full consideration is Nov 20, 2025!
academicjobsonline.org/ajo/j…
Hadar Averbuch-Elor retweeted
.@Cornell is recruiting for multiple postdoctoral positions in AI as part of two programs: Empire AI Fellows and Foundational AI Fellows. Positions are available in NYC and Ithaca.
Deadline for full consideration is Nov 20, 2025!
academicjobsonline.org/ajo/j…
Hadar Averbuch-Elor retweeted
Very excited to introduce our 🌺#ICCV2025 highlight🌺 paper “BlendedPC”!
This work sets a new standard in localised semantic editing of point clouds, using purely text as guidance.
Project page: tau-vailab.GitHub.io/Blended…
Wanna hear more? 👇🧵
Hadar Averbuch-Elor retweeted
💥New preprint! WildCAT3D uses tourist photos in-the-wild as supervision to learn to generate novel, consistent views of scenes like the one shown below. Work from Meta AI internship, with @davnov123 @filippos_kok @ElorHadar @t_monnier (1/5)
