no code implementations • 8 Jan 2024 • Qiang Fu, Matheus Souza, Eunsue Choi, Suhyun Shin, Seung-Hwan Baek, Wolfgang Heidrich
Hyperspectral imaging empowers computer vision systems with the distinct capability of identifying materials through recording their spectral signatures.
no code implementations • 31 Dec 2023 • Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee, Seung-Hwan Baek, Sunghyun Cho
UGPNet first restores the image structure of a degraded input using a regression model and synthesizes a perceptually-realistic image with a generative model on top of the regressed output.
no code implementations • 20 Dec 2023 • Woohyeok Kim, GeonU Kim, Junyong Lee, Seungyong Lee, Seung-Hwan Baek, Sunghyun Cho
RAW images are rarely shared mainly due to its excessive data size compared to their sRGB counterparts obtained by camera ISPs.
no code implementations • 5 Dec 2023 • Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
To this end, we adopt point-based rendering, eliminating the need for multiple samplings per ray, typical of volumetric rendering, thus significantly enhancing the speed of inverse rendering.
no code implementations • 30 Nov 2023 • Suhyun Shin, Seokjun Choi, Felix Heide, Seung-Hwan Baek
In this work, we present Dispersed Structured Light (DSL), a cost-effective and compact method for accurate hyperspectral 3D imaging.
no code implementations • 29 Nov 2023 • Yujin Jeon, Eunsue Choi, Youngchan Kim, Yunseong Moon, Khalid Omer, Felix Heide, Seung-Hwan Baek
Image datasets are essential not only in validating existing methods in computer vision but also in developing new methods.
1 code implementation • 30 Jul 2023 • Yucheol Jung, Hyomin Kim, Gyeongha Hwang, Seung-Hwan Baek, Seungyong Lee
In 3D shape reconstruction based on template mesh deformation, a regularization, such as smoothness energy, is employed to guide the reconstruction into a desirable direction.
no code implementations • CVPR 2023 • Daniel S. Jeon, Andreas Meuleman, Seung-Hwan Baek, Min H. Kim
In this work, we propose a polarimetric iToF imaging method that can capture depth information robustly through scattering media.
no code implementations • 23 Jun 2023 • Seokjun Choi, Seungwoo Yoon, Giljoo Nam, Seungyong Lee, Seung-Hwan Baek
In this paper, we present differentiable display photometric stereo (DDPS), addressing an often overlooked challenge in display photometric stereo: the design of display patterns.
no code implementations • 23 Jun 2023 • Eunsue Choi, Gyeongtae Kim, Jooyeong Yun, Yujin Jeon, Junsuk Rho, Seung-Hwan Baek
We have utilized neural 360$^\circ$ structured light for holographic light projection and 3D imaging.
no code implementations • 21 Jun 2023 • Youngchan Kim, Wonjoon Jin, Sunghyun Cho, Seung-Hwan Baek
Here, we propose to model spectro-polarimetric fields, the spatial Stokes-vector distribution of any light ray at an arbitrary wavelength.
no code implementations • ICCV 2023 • Yu Qiao, Bo Dong, Ao Jin, Yu Fu, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang
In this paper, we present the first polarization-guided video glass segmentation propagation solution (PGVS-Net) that can robustly and coherently propagate glass segmentation in RGB-P video sequences.
no code implementations • 30 Nov 2022 • Wonjoon Jin, Nuri Ryu, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho
To tackle this, we present Dr. 3D, a novel adaptation approach that adapts an existing 3D GAN to artistic drawings.
1 code implementation • 26 Nov 2022 • Seongtae Kim, Kyoungkook Kang, Geonung Kim, Seung-Hwan Baek, Sunghyun Cho
In this paper, we propose DynaGAN, a novel few-shot domain-adaptation method for multiple target domains.
1 code implementation • 20 Jul 2022 • Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho
In this paper, we propose BigColor, a novel colorization approach that provides vivid colorization for diverse in-the-wild images with complex structures.
1 code implementation • 28 May 2022 • Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz, Felix Heide
We propose a differentiable rendering algorithm for efficient novel view synthesis.
no code implementations • CVPR 2022 • Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang
Transparent and semi-transparent materials pose significant challenges for existing scene understanding and segmentation algorithms due to their lack of RGB texture which impedes the extraction of meaningful features.
Ranked #14 on Semantic Segmentation on KITTI-360
no code implementations • CVPR 2022 • Seung-Hwan Baek, Felix Heide
Conventional ToF imaging methods estimate the depth by sending pulses of light into a scene and measuring the ToF of the first-arriving photons directly reflected from a scene surface without any temporal delay.
1 code implementation • 16 Sep 2021 • Ethan Tseng, Seung-Hwan Baek, Grace Kuo, Nathan Matsuda, Andrew Maimone, Florian Schiffers, PRANEETH CHAKRAVARTHULA, Qiang Fu, Wolfgang Heidrich, Douglas Lanman, Felix Heide
As a result, modern holographic displays possess low \'{e}tendue, which is the product of the display area and the maximum solid angle of diffracted light.
no code implementations • 25 May 2021 • Seung-Hwan Baek, Noah Walsh, Ilya Chugunov, Zheng Shi, Felix Heide
In this work, we close this gap and propose a computational imaging method for all-optical free-space correlation before photo-conversion that achieves micron-scale depth resolution with robustness to surface reflectance and ambient light with conventional silicon intensity sensors.
no code implementations • 25 May 2021 • Seung-Hwan Baek, Felix Heide
This allows us, for the first time, to decompose scene light transport into temporal, spatial, and complete polarimetric dimensions that unveil scene properties hidden to conventional methods.
1 code implementation • 28 Apr 2021 • Julian Knodt, Joe Bartusek, Seung-Hwan Baek, Felix Heide
Recent neural rendering methods have demonstrated accurate view interpolation by predicting volumetric density and color with a neural network.
1 code implementation • CVPR 2021 • Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide
We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures.
no code implementations • CVPR 2021 • 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 application domains.
no code implementations • ICCV 2021 • Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
no code implementations • CVPR 2018 • Daniel S. Jeon, Seung-Hwan Baek, Inchang Choi, Min H. Kim
We present a novel method that can enhance the spatial resolution of stereo images using a parallax prior.
no code implementations • CVPR 2016 • Seung-Hwan Baek, Inchang Choi, Min H. Kim
Since a user specifies the region to be completed in one of multiview photographs casually taken in a scene, the proposed method enables us to complete the set of photographs with geometric consistency by creating or removing structures on the specified region.