We're excited to announce the release of PADO (Pytorch Automatic Differentiable Optics), a python library designed to facilitate differentiable wave-optics simulations. PADO is tailored specifically for researchers and developers engaged in computational imaging, computational

We have significantly enhanced our previously published hyperspectral 3D imaging approach, Dispersed Structured Light (DSL), presented at #CVPR2024, to better accommodate dynamic scenes. Our latest work, Dense Dispersed Structured Light (DDSL), which will be presented at

📢📢📢 Come and submit to our workshop on Physics-inspired 3D Vision and Imaging at CVPR 2025! Speakers 🗣️ include Ioannis Gkioulekas, Laura Waller, Berthy Feng, @SeungHwanBaek8 and @GordonWetzstein! Thanks to coorganizers @imarhombus, @ceciliazhang77, @dorverbin and @jtompkin!

Here is a video showing how the polarimetric response of the gel looks. For more results, please visit the project website linked above.

How can you see the stress applied to transparent gel? How can you detect transparent tape? In our #CVPR2025 paper, we present event ellipsometry, which enables polarimetric analysis at 30fps, making these and more possible. We achieve this by combining an event camera with

Sensing and illuminating your 360 environment is crucial for robot/VR-AR/HCI/display applications. In our #NaturePhotonics paper, we computationally design metasurface-driven 360 structured light optimized for a downstream task. This interdisciplinary research, combining computer

Modern 3D imaging methods have made 3D vision applications accessible. However, analyzing detailed material properties in 3D has been challenging due to the high cost and large-form factor of accurate hyperspectral cameras. In our CVPR '24 paper, we use diffraction-grating film

RGB image datasets have fueled innovation in computer vision, graphics, and AI. However, it is the RGB intensity format that restricts us to the level of human vision. In our CVPR '24 highlight paper, we explore polarization and spectrum, wave properties of light that animals in

What are the optimal illumination patterns for 3D reconstruction? In our CVPR'24 paper, we propose learning display illumination patterns for photometric stereo using real-world training datasets created with 3D-printed objects. Our method, titled "Differentiable Display

We present our CVPR'24 paper, differentiable point-based inverse rendering (DPIR) that achieves accurate reconstruction with small memory footprint and fast reconstruction speed. Our key idea is to (1) use differentiable point-based forward rendering in an analysis-by-synthesis

Does the RGB radiance field encompass all exploitable visual information? In our SIGA23 paper, Neural Spectro-Polarimetric Fields (NeSpoFs), we delve into light's wave properties, polarization and spectrum, that are beyond human vision capability. Project: https://t.co/CYPyuGHJZc

If you are @ #SIGGRAPH2023 , come to our course tomorrow on Polarization-based Visual computing with @AchutaKadambi @jinwei_ye George Chen & @raskarmit to learn how this invisible light property enhances graphics & vision! https://t.co/PwOB7imzop https://t.co/EBFj03sAX9

The third is a collaboration with KAIST & MSRA involving Seung-Hwan Baek, @tizianzeltner, Hyun Jin Ku, Inseung Hwang, Xin Tong, and Min Kim. We’ve put together the first comprehensive database of BRDF measurements that captures changes in polarization state of light. 1/3