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Introducing Objaverse-XL, an open dataset of over 10 million 3D objects! With it, we train Zero123-XL, a foundation model for 3D, observing incredible 3D generalization abilities: 🧵👇 📝 Paper:
368,704 просмотров • 3 лет назад •via X (Twitter)
Комментарии: 10

Objaverse 1.0 was released back in December. It was a step in the right direction, but still relatively small with 800K objects. Objaverse-XL is over an order of magnitude larger and much more diverse!

Compared to the original Zero123 model, Zero123-XL improves remarkably in 0-shot generalization abilities, even being able to perform novel view synthesis on sketches, cartoons, and people! A ton more examples in the paper :)

With the base Zero123-XL foundation model, we can perform image → 3D using DreamFusion, having the model guide a NeRF to generate novel views!

Text-to-3D comes for free with text → image models, such as with SDXL here, providing the initial image!

Beyond that, we show strong scaling trends for both Zero123-XL and PixelNeRF!

The data, code, and models will be openly available soon! 🤗 We’re thrilled to see what you build!

Objaverse-XL was a tremendously enjoyable collaboration between researchers at a bunch of organizations, including @allen_ai, Columbia University, @uwcse, @StabilityAI, @laion_ai, and Caltech. Compute for the experiments was generously provided by @StabilityAI!

It was an incredibly fun collaboration with the team, including @ruoshi_liu, Matthew Wallingford, @hvngo2002, Oscar Michel, @adityakusupati, @a1anfan, @chrlaf, @VikramVoleti, @sy_gadre, Eli VanderBilt, @anikembhavi, @cvondrick, @georgiagkioxari, @ehsanik, @lschmidt3, Ali Farhadi

Hey Matt, congrats on the work. However the savable content on Polycam is intended for our users, not for bots, and scraping is in violation of our Terms of Service. Sent you an email about this, please get back to me today.

I will invoice your for using my 3d models for your project, full price.

