Changil Kim

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 40

Top Topics

Diffusion Models

Ambient Illumination

Background Modeling

Top Venues

Publications

Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhöfer, Christian Richardt
VR-NeRF: High-Fidelity Virtualized Walkable Spaces. SIGGRAPH Asia (2023)
Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H. Kim, Johannes Kopf
Progressively Optimized Local Radiance Fields for Robust View Synthesis. CoRR (2023)
Badour AlBahar, Shunsuke Saito, Hung-Yu Tseng, Changil Kim, Johannes Kopf, Jia-Bin Huang
Single-Image 3D Human Digitization with Shape-Guided Diffusion. CoRR (2023)
Li Ma, Vasu Agrawal, Haithem Turki, Changil Kim, Chen Gao, Pedro V. Sander, Michael Zollhöfer, Christian Richardt
SpecNeRF: Gaussian Directional Encoding for Specular Reflections. CoRR (2023)
Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang
Robust Dynamic Radiance Fields. CVPR (2023)
Badour Albahar, Shunsuke Saito, Hung-Yu Tseng, Changil Kim, Johannes Kopf, Jia-Bin Huang
Single-Image 3D Human Digitization with Shape-guided Diffusion. SIGGRAPH Asia (2023)
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf
Consistent View Synthesis with Pose-Guided Diffusion Models. CoRR (2023)
Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf
OmnimatteRF: Robust Omnimatte with 3D Background Modeling. ICCV (2023)
Hung-Yu Tseng, Qinbo Li, Changil Kim, Suhib Alsisan, Jia-Bin Huang, Johannes Kopf
Consistent View Synthesis with Pose-Guided Diffusion Models. CVPR (2023)
Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H. Kim, Johannes Kopf
Progressively Optimized Local Radiance Fields for Robust View Synthesis. CVPR (2023)
Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf
OmnimatteRF: Robust Omnimatte with 3D Background Modeling. CoRR (2023)
Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Matthew O'Toole, Changil Kim
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling. CoRR (2023)
Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang
Robust Dynamic Radiance Fields. CoRR (2023)
Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhöfer, Christian Richardt
VR-NeRF: High-Fidelity Virtualized Walkable Spaces. CoRR (2023)
Benjamin Attal, Jia-Bin Huang, Christian Richardt, Michael Zollhöfer, Johannes Kopf, Matthew O'Toole, Changil Kim
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling. CVPR (2023)
Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv
Neural 3D Video Synthesis from Multi-view Video. CVPR (2022)
Xuejian Rong, Jia-Bin Huang, Ayush Saraf, Changil Kim, Johannes Kopf
Boosting View Synthesis with Residual Transfer. CVPR (2022)
Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim
Learning Neural Light Fields with Ray-Space Embedding. CVPR (2022)
Peiye Zhuang, Jia-Bin Huang, Ayush Saraf, Xuejian Rong, Changil Kim, Denis Demandolx
AMICO: Amodal Instance Composition. CoRR (2022)
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim
Space-Time Neural Irradiance Fields for Free-Viewpoint Video. CVPR (2021)
Peiye Zhuang, Denis Demandolx, Ayush Saraf, Xuejian Rong, Changil Kim, Jia-Bin Huang
AMICO: Amodal Instance Composition. BMVC (2021)
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O'Toole
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis. NeurIPS (2021)
Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Zhaoyang Lv
Neural 3D Video Synthesis. CoRR (2021)
Liang Shi, Beichen Li, Changil Kim, Petr Kellnhofer, Wojciech Matusik
Towards real-time photorealistic 3D holography with deep neural networks. Nat. 591 (7849) (2021)
Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim
Learning Neural Light Fields with Ray-Space Embedding Networks. CoRR (2021)
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O'Toole
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis. CoRR (2021)
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim
Space-time Neural Irradiance Fields for Free-Viewpoint Video. CoRR (2020)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CVPR (2019)
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
Speech2Face: Learning the Face Behind a Voice. CoRR (2019)
Liang Shi, Vahid Babaei, Changil Kim, Michael Foshey, Yuanming Hu, Pitchaya Sitthi-amorn, Szymon Rusinkiewicz, Wojciech Matusik
Deep multispectral painting reproduction via multi-layer, custom-ink printing. ACM Trans. Graph. 37 (6) (2018)
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik
Learning-based Video Motion Magnification. CoRR (2018)
Alexandre Kaspar, Genevieve Patterson, Changil Kim, Yagiz Aksoy, Wojciech Matusik, Mohamed A. Elgharib
Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation? CHI (2018)
Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik
On Learning Associations of Faces and Voices. CoRR (2018)
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed A. Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik
Learning-Based Video Motion Magnification. ECCV (4) (2018)
Yagiz Aksoy, Changil Kim, Petr Kellnhofer, Sylvain Paris, Mohamed A. Elgharib, Marc Pollefeys, Wojciech Matusik
A Dataset of Flash and Ambient Illumination Pairs from the Crowd. ECCV (9) (2018)
Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh, Alexandre Kaspar, Mohamed A. Elgharib, Wojciech Matusik
On Learning Associations of Faces and Voices. ACCV (5) (2018)
Ajay Nandoriya, Mohamed A. Elgharib, Changil Kim, Mohamed Hefeeda, Wojciech Matusik
Video Reflection Removal Through Spatio-Temporal Optimization. ICCV (2017)
Katja Wolff, Changil Kim, Henning Zimmer, Christopher Schroers, Mario Botsch, Olga Sorkine-Hornung, Alexander Sorkine-Hornung
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction. 3DV (2016)
Kaan Yücer, Changil Kim, Alexander Sorkine-Hornung, Olga Sorkine-Hornung
Depth from Gradients in Dense Light Fields for Object Reconstruction. 3DV (2016)
Changil Kim, Kartic Subr, Kenny Mitchell, Alexander Sorkine-Hornung, Markus H. Gross
Online view sampling for estimating depth from light fields. ICIP (2015)
Changil Kim, Ulrich Muller, Henning Zimmer, Yael Pritch, Alexander Sorkine-Hornung, Markus H. Gross
Memory Efficient Stereoscopy from Light Fields. 3DV (2014)
Changil Kim, Henning Zimmer, Yael Pritch, Alexander Sorkine-Hornung, Markus H. Gross
Scene reconstruction from high spatio-angular resolution light fields. ACM Trans. Graph. 32 (4) (2013)
Simon Wenner, Jean-Charles Bazin, Alexander Sorkine-Hornung, Changil Kim, Markus H. Gross
Scalable Music: Automatic Music Retargeting and Synthesis. Comput. Graph. Forum 32 (2) (2013)
Changil Kim, Alexander Hornung, Simon Heinzle, Wojciech Matusik, Markus H. Gross
Multi-perspective stereoscopy from light fields. ACM Trans. Graph. 30 (6) (2011)