Aditya Chetan

@justachetan.bsky.social

PhD Student at Cornell. Working in Vision and Graphics. justachetan.github.io

Humans can watch tasks like cooking or assembly and reason about what happened, when, and between which parts. Can LVLMs do the same? We built Flat-Pack Bench to test this – and found there is still a long way to go. Accepted at #CVPR2026! 🎥🪑🧩(1/n)

It’s grad school application season, and I wanted to give some public advice. Caveats: -*-*-*-* 
> These are my opinions, based on my experiences, they are not secret tricks or guarantees 
> They are general guidelines, not meant to cover a host of idiosyncrasies and special cases

For those at CVPR, @justachetan.bsky.social will be presenting this poster tomorrow at 10:30 (Exhibit hall D, Poster #34). Come hear about why neural field derivatives are noisy, and how we resurrect image processing ideas for neural fields!

Aditya Chetan@justachetan.bsky.social · last yr.

Check out our poster at #CVPR2025 on accurate differential operators for hybrid neural fields (like Instant NGP)! 🗓️ Fri, June 13, 10:30 AM–12:30 PM 📍 ExHall D, Poster #34 🔗 justachetan.github.io/hnf-derivati... 👉 cvpr.thecvf.com/virtual/2025... Details ⬇️ (1/n)

Thrilled to attend my first-ever #CVPR2025! 🎉 Please reach out if you would like to chat about neural fields, dynamic scenes, video understanding, or just generally about gaming, musicals, or ☕️ I will also be presenting our poster ⬇️ (Come visit!)

Aditya Chetan@justachetan.bsky.social · last yr.

Check out our poster at #CVPR2025 on accurate differential operators for hybrid neural fields (like Instant NGP)! 🗓️ Fri, June 13, 10:30 AM–12:30 PM 📍 ExHall D, Poster #34 🔗 justachetan.github.io/hnf-derivati... 👉 cvpr.thecvf.com/virtual/2025... Details ⬇️ (1/n)

Introducing MegaSaM! Accurate, fast, & robust structure + camera estimation from casual monocular videos of dynamic scenes! MegaSaM outputs camera parameters and consistent video depth, scaling to long videos with unconstrained camera paths and complex scene dynamics!