I design and deploy high-impact systems built on LLMs, local inference, and agent architectures, working close to real p ...
Abstract: Depth information provides valuable insights into the 3D structure, especially the outline of objects, which can be utilized to enhance semantic segmentation. However, a naive fusion of ...
Virtual representations of physical critical infrastructures, such as water or energy plants, are used for simulations and digital twins to ensure resilience and continuity of their services. These ...
Co-authors Emily Howe and Susan Dickerson-Lange evaluate layers of snowpack on the south side of Cle Elum Ridge. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases ...
If you find our work useful, please consider citing our paper: @inproceedings{wulff2025dreamtorecon, title = {Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single ...
Abstract: Underwater optical images are a crucial information source for autonomous underwater vehicles during underwater development and exploration. When these vehicles are in operation, they need ...
This work presents Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses. In pursuit of minimal modeling, DA3 ...
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