Pierluigi Zama Ramirez

Assistant Professor @UniversityOfBologna

[Fabio Tosi @fabiotosi92]

Imagine AI that can handle any adverse condition-rain,fog,trasparent and reflective surfaces, and more 🌧️🪞🍷
Our #ECCV2024 work leverages diffusion models to tackle challenging scenarios, boosting monocular depth estimation! 🚀 @mattpoggi
@pierluigi92

https://t.co/EaEm77v8Bu

[Pierluigi Zama Ramirez @pierluigi92]

Project page: https://t.co/yRkgoY2A5t

[Pierluigi Zama Ramirez @pierluigi92]

Processing neural fields with deep learning?

In our previous ICLR paper, we laid the foundation. Now, explore our advanced work, "Deep Learning on Object-centric 3D Neural Fields," just published in TPAMI, which extends our capabilities to processing NeRFs! 🔥

[Matteo Poggi @mattpoggi]

🍸🍸The TRICKY 24 challenge on "Monocular Depth from Images of Specular and Transparent SurfacesHR Depth from Images of Specular and Transparent Surfaces" is live! 🍸🍸

More details about the challenge: https://t.co/6F6SoQe337

and the TRICKY workshop: https://t.co/cOmyFO5cED

[Luigi Di Stefano @LuigiDi77998956]

Signals are networks so networks are data and so networks can process other networks to understand and generate signals. Puzzled ? Check out out our #iclr2023 paper (https://t.co/gzl3ImWZOV)
Deep Learning on Implicit Neural Representations of Shapes