Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
Jan
22
Date(s)
Summary
Dr. Peyman Milanfar (Google)
Packard 101
Packard 101
Displaying 1 - 10 of 68 results.
Toward Spatial Intelligence with Limited Data
Jan
15
Date(s)
Summary
Dr. Guandao Yang (Stanford)
Packard 101
Packard 101
Recreating the Physical Natural World from Images
Dec
4
Date(s)
Summary
Dr. Elliot Wu (Stanford)
Packard 101
Packard 101
The pursuit of a good shape representation
Nov
20
Date(s)
Summary
Dr. Rick Chang (Apple)
Packard 101
Reception to follow
Packard 101
Reception to follow
3D Graphics in the age of Generative AI
Nov
13
Date(s)
Summary
Dr. Kalyan Sunkavalli (Adobe)
Packard 101
Packard 101
Diffusion Models as Data-driven and Physics-informed Priors for Bayesian Imaging
Nov
6
Date(s)
Summary
Berthy Feng (Caltech)
Packard 101
Packard 101
Computational 3D and 4D imaging at high spatiotemporal throughput
Oct
30
Date(s)
Summary
Dr. Kevin Zhou (UC Berkeley)
Packard 101
Packard 101
Diffusion Model Alignment with Direct Preference Optimization
Oct
23
Date(s)
Summary
Dr. Nikhil Naik (Meta)
Packard 101
Packard 101
SCIEN (Stanford Center for Image System Engineering) Colloquium
Oct
16
Date(s)
Summary
Dr. Robin Rombach (Black Forest Labs)
Packard 101
Packard 101
From Latent Diffusion to FLUX and Beyond: Scaling Efficient Content Creation
Oct
16
Date(s)
Summary
Robin Rombach (Black Forest Labs)
AllenX 101
AllenX 101