315 citations · 376 across the 13 of their papers we have counts for
14 papers
Neural 360 Structured Light with Learned Metasurfaces
Eunsue Choi, Gyeongtae Kim, Jooyeong Yun +3
Structured light has proven instrumental in 3D imaging, LiDAR, and holographic light projection. Metasurfaces, comprised of sub-wavelength-sized nanostructures, facilitate 180$^\ci…
Differentiable Display Photometric Stereo
Seokjun Choi, Seungwoo Yoon, Giljoo Nam +2
Photometric stereo leverages variations in illumination conditions to reconstruct surface normals. Display photometric stereo, which employs a conventional monitor as an illuminati…
BigColor: Colorization using a Generative Color Prior for Natural Images
Geonung Kim, Kyoungkook Kang, Seongtae Kim +5
For realistic and vivid colorization, generative priors have recently been exploited. However, such generative priors often fail for in-the-wild complex images due to their limited…
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz +1
We propose a differentiable rendering algorithm for efficient novel view synthesis. By departing from volume-based representations in favor of a learned point representation, we im…
Pupil-aware Holography
Praneeth Chakravarthula, Seung-Hwan Baek, Florian Schiffers +7
Holographic displays promise to deliver unprecedented display capabilities in augmented reality applications, featuring a wide field of view, wide color gamut, spatial resolution,…
All-photon Polarimetric Time-of-Flight Imaging
Seung-Hwan Baek, Felix Heide
Time-of-flight (ToF) sensors provide an imaging modality fueling diverse applications, including LiDAR in autonomous driving, robotics, and augmented reality. Conventional ToF imag…
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Ethan Tseng, Grace Kuo, Seung-Hwan Baek +8
Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augme…
Centimeter-Wave Free-Space Time-of-Flight Imaging
Seung-Hwan Baek, Noah Walsh, Ilya Chugunov +2
Depth cameras are emerging as a cornerstone modality with diverse applications that directly or indirectly rely on measured depth, including personal devices, robotics, and self-dr…
Polarimetric Spatio-Temporal Light Transport Probing
Seung-Hwan Baek, Felix Heide
Light emitted from a source into a scene can undergo complex interactions with scene surfaces of different material types before being reflected. During this transport, every surfa…
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
Julian Knodt, Joe Bartusek, Seung-Hwan Baek +1
Recent neural rendering methods have demonstrated accurate view interpolation by predicting volumetric density and color with a neural network. Although such volumetric representat…
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
Ilya Chugunov, Seung-Hwan Baek, Qiang Fu +2
We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths f…
Neural Nano-Optics for High-quality Thin Lens Imaging
Ethan Tseng, Shane Colburn, James Whitehead +4
Nano-optic imagers that modulate light at sub-wavelength scales could unlock unprecedented applications in diverse domains ranging from robotics to medicine. Although metasurface o…
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo
Seung-Hwan Baek, Felix Heide
Active stereo cameras that recover depth from structured light captures have become a cornerstone sensor modality for 3D scene reconstruction and understanding tasks across applica…
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon +4
Imaging depth and spectrum have been extensively studied in isolation from each other for decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both information…