Ellina Zhang

[Ellina Zhang @EllinaZhang]

Huge thanks to my collaborators:@madhiyen , Amir Zadeh and Chuan Li (@LambdaAPI), @davheld, @pathak2206, and @TalDaniel8🙏 🌐 Website: https://t.co/sbBsYYe5jY 📄 Paper: https://t.co/KVWznxxVEp 💻 Code: https://t.co/MhGBasCkIJ

[Ellina Zhang @EllinaZhang]

🧩 #ICML2026 💥 How can a model discover the 3D objects in a scene—their shape, color, and position—without any labels? Introducing 3D-DLP, a self-supervised object-centric model that decomposes colored 3D scenes (RGB-D and voxels) into a set of 3D latent particles.

[Ellina Zhang @EllinaZhang]

3D-DLP is a first practical bridge from self-supervised 3D scene decomposition to downstream control. Open challenges remain—scaling to dynamic, cluttered, in-the-wild scenes—and extending to dynamics and world modeling in 3D particle space.