Sep 26, 2024 · Specifically, Lotus is trained to directly predict annotations instead of noise, thereby avoiding harmful variance. We also reformulate the ...

We present Lotus, a diffusion-based visual foundation model for dense geometry prediction. With minimal training data, Lotus achieves SoTA performance.

We present Lotus, a diffusion-based visual foundation model for dense geometry prediction. With minimal training data, Lotus achieves SoTA performance.

Oct 7, 2024 · We are excited to introduce Lotus, our newly developed diffusion-based visual foundation model that marks a significant leap forward in ...

Oct 28, 2024 · Specifically, Lotus is trained to directly predict annotations instead of noise, thereby avoiding harmful variance. We also reformulate the ...

Sep 27, 2024 · We introduce Lotus, a diffusion-based visual foundation model with a simple yet effective adaptation protocol for dense prediction.

In this paper, we provide a systemic analysis of the diffusion formulation for the dense prediction, focusing on both quality and efficiency. And we find that ...

Oct 17, 2024 · Aside from having a larger model, this isn't very different from "traditional" depth estimation that don't claim anything to do with diffusion.

Oct 7, 2024 · Lotus is a diffusion-based visual foundation model, which means it uses a probabilistic diffusion process to generate detailed geometry ...

Sep 26, 2024 · We introduce Lotus, a diffusion-based visual foundation modelwith a simple yet effective adaptation protocol for dense prediction.