Events

Speaker: Dr. Kevin Zhou (UC Berkeley) Title: Computational 3D and 4D imaging at high spatiotemporal throughput Video: Click here to view Abstract: Conventional imaging systems have difficulties scaling to high spatiotemporal throughput, rendering it challenging or impossible to study complex and highly dynamic biological systems. In particular, due to physical limitations of hardware-only systems, it […]

Speaker: Berthy Feng (Caltech) Title: Diffusion Models as Data-driven and Physics-informed Priors for Bayesian Imaging Video: Click here to view Abstract:  Priors are essential for solving ill-posed imaging problems, affecting both the quality and uncertainty of reconstructed images. Diffusion models can express complex image priors, but recent approaches extending diffusion models to inverse problems do […]

Speaker: Dr. Kalyan Sunkavalli (Adobe) Title: 3D Graphics in the age of Generative AI Video: Click here to view Abstract:  2D generative models are now able to synthesize increasingly high-quality images and videos. This has interesting implications for 3D graphics tools that have been developed for essentially the same goal. In this talk, I will […]

Speaker: Dr. Rick Chang (Apple) Title:  "The pursuit of a good shape representation" Video: Click here to view Abstract:  How should we represent 3D shapes in modern learning systems? While representations like meshes, voxels, 3D Gaussians, density and distance fields excel in computer graphics and physics simulations, one would argue that for machine learning, a […]