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int-lee.github.io

int-lee.github.io is TEM: a scalable Transformer Energy-Based Model that generates high-fidelity ImageNet 256x256 and 512x512 images with a contrastively trained EBM.. It is ranked #2873 on the AI Radar, in AI research, first seen 7 days ago and shared in 1 post (7.8k views).

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Scaling Transformer Energy-Based Models for High Quality Image Synthesis Scaling Transformer Energy-Based Models for High Quality Image Synthesis Jungsoo Lee 1 , Alexi Gladstone 2 , Yilun Du 3 1 MIT, 2 UIUC, 3 Harvard University Paper arXiv Code TL;DR We scale contrastively trained energy-based models to high-resolution ImageNet with a transformer energy function, reaching FID 3.82 (256×256) and 8.24 (512×512) without guidance, while keeping EBMs' special properties: composition, inpainting, OOD detection, and inference-time scaling. "zebra" "beach" $E_1 + E_2$ composed result Left: uncurated class-conditional samples from…

What people said about int-lee.github.io on X

Excited to share Transformer Energy-Based Models (TEM)! We scale contrastively trained EBMs to high-quality image generation, reaching 3.82 FID on ImageNet 256×256 without classifier-free guidance. EBMs are a flexible class of generative models with some very nice properties, from inference-time scaling to…

— @du_yilun, 7 days ago · 154 likes · see the post

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What is int-lee.github.io?

TEM: a scalable Transformer Energy-Based Model that generates high-fidelity ImageNet 256x256 and 512x512 images with a contrastively trained EBM. It was first shared on X 7 days ago and is ranked #2873 on the AI Radar.

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1 account on X, including @du_yilun, in 1 post totalling 7.8k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:05 UTC. Full method.