Jun-Yan Zhu

Jun-Yan Zhu

@junyanz.bsky.social

Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.

1.3K followers140 following3 posts

Jun-Yan Zhu reposted

Reve Image is our first step towards world-class image generation — and you can experience it for free today 🌜 (🔊)

Jun-Yan Zhu reposted

The AI for Content Creation workshop #CVPR2025 is accepting paper submissions. ai4cc.net Deadline March 21st 2025 midnight PST. 4 page extended abstracts, 8 pagers, and previously published work (ECCV, NeurIPS, even CVPR)! Many topics 📷📹🎬🎲✒️📃🖼️👗👔🏢 - come spend the day with us!

ai4cc.netAI4CC 2025

Jun-Yan Zhu reposted

One day walking home, I noticed a dry cleaners across the street. “Was that always there?” I thought. A little Googling revealed that it was on my street longer than I have. Here's a blog post on why we often miss what's right in front of us. #visionscience aaronhertzmann.com/2024/05/09/i...

aaronhertzmann.comThe Illusion of Awareness: Why We See Much Less Than We Think We DoA few years ago, while walking home, I noticed a dry cleaners across the street from my house. “Was that always there?” I thought, surprised. I’d walked by that spot many, many times over the years, b...

Jun-Yan Zhu reposted

Check out Maxwell et al.'s recent SIGGRAPH Asia paper on model customization with a single image pair. The code is available at github.com/PairCustomiz...

github.comGitHub - PairCustomization/PairCustomizationContribute to PairCustomization/PairCustomization development by creating an account on GitHub.
Maxwell Jones@maxwelljones14.bsky.social

After training, we allow for styled generation and image editing with both SDXL and FLUX (new!!) Thanks to my amazing collaborators Sheng-Yu Wang, Nupur Kumari, @davidbau.bsky.social, and @junyanz.bsky.social for helping create this work :)) 2/3

Jun-Yan Zhu reposted

Jun-Yan Zhu reposted

Introducing Generative Omnimatte: A method for decomposing a video into complete layers, including objects and their associated effects (e.g., shadows, reflections). It enables a wide range of cool applications, such as video stylization, compositions, moment retiming, and object removal.

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