Deep learning

Target-Aware Image Denoising for Inverse Monte Carlo Rendering
https://sgvr.kaist.ac.kr/publication/target-aware-image-denoising-for-inverse-monte-carlo-rendering/
Jeongmin Gu, Jonghee Back, Sung-Eui Yoon, and Bochang Moon
TopACM Transactions on Graphics (SIGGRAPH 2024), 2024
paper github
Physically based differentiable rendering allows an accurate light transport simulation to be differentiated with respect to the rendering input, i.e., scene parameters, and it enables inferring scene parameters from target … Continue reading "Target-Aware Image Denoising for Inverse Monte Carlo Rendering"
Publication: International Journal, International Papers, Papers
Optical neural network via loose neuron array and functional learning
https://sgvr.kaist.ac.kr/publication/optical-neural-network-via-loose-neuron-array-and-functional-learning/
Yuchi Huo, Hujun Bao, Yifan Peng, Chen Gao, Wei Hua, Qing Yang, Haifeng Li, Rui Wang, and Sung-Eui Yoon
TopNature Communications, 2023
paper
Publication: International Journal, International Papers, Papers
Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising
https://sgvr.kaist.ac.kr/publication/pixel-wise-guidance-for-utilizing-auxiliary-features-in-monte-carlo-denoising/
Kyu Beom Han, Olivia G. Odenthal, Woo Jae Kim, and Sung-Eui Yoon
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3DG) / Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2023
Publication: International Conference, International Journal, International Papers, Papers
Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction
https://sgvr.kaist.ac.kr/publication/iln/
Youngsun Kwon, Minhyuk Sung, and Sung-Eui Yoon
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
GitHub
Publication: International Conference, International Papers, Papers
In-N-Out: Towards Good Initialization for Inpainting and Outpainting
https://sgvr.kaist.ac.kr/publication/bmvc2021-in-n-out/
Changho Jo, Woobin Im, and Sung-Eui Yoon
British Machine Vision Conference (BMVC), 2021
arXiv Paper GitHub Code zip Slides
Abstract In computer vision, recovering spatial information by filling in masked regions, e.g., inpainting, has been widely investigated for its usability and wide applicability to other various applications: image inpainting, … Continue reading "In-N-Out: Towards Good Initialization for Inpainting and Outpainting"
Publication: International Conference
Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction
https://sgvr.kaist.ac.kr/publication/weakly-supervised-contrastive-learning-in-path-manifold-for-monte-carlo-image-reconstruction/
In-Young Cho, Yuchi Huo, and Sung-Eui Yoon
TopACM Trans. on Graphics (ToG) (proc. of SIGGRAPH), 2021
Paper Paper (low quality) Slides (coming soon) GitHub ZIP
Publication: International Conference, International Papers
High-dimensional Feature Extraction for Denoising Monte Carlo Renderings몬테카를로 렌더링의 노이즈 제거를 위한 고차원 피처 추출
https://sgvr.kaist.ac.kr/publication/%eb%aa%ac%ed%85%8c%ec%b9%b4%eb%a5%bc%eb%a1%9c-%eb%a0%8c%eb%8d%94%eb%a7%81%ec%9d%98-%eb%85%b8%ec%9d%b4%ec%a6%88-%ec%a0%9c%ea%b1%b0%eb%a5%bc-%ec%9c%84%ed%95%9c-%ea%b3%a0%ec%b0%a8%ec%9b%90-%ed%94%bc/
조인영, Yuchi Huo, and 윤성의
한국컴퓨터그래픽스학회(KCGS), 2020
Publication: Domestic Conference, Domestic Papers, Papers
학습 기반 상태 전이 함수를 사용한 Kinodynamic 플래닝
https://sgvr.kaist.ac.kr/publication/%ed%95%99%ec%8a%b5-%ea%b8%b0%eb%b0%98-%ec%83%81%ed%83%9c-%ec%a0%84%ec%9d%b4-%ed%95%a8%ec%88%98%eb%a5%bc-%ec%82%ac%ec%9a%a9%ed%95%9c-kinodynamic-%ed%94%8c%eb%9e%98%eb%8b%9d/
장진혁 and 윤성의
대한전자공학회(IEIE), 2020
Publication: Domestic Conference, Domestic Papers, Papers
Unsupervised Learning of Optical Flow with Deep Feature Similarity
https://sgvr.kaist.ac.kr/publication/unsupsimflow/
Woobin Im, Tae-Kyun Kim, and Sung-Eui Yoon
TopEuropean Conference on Computer Vision (ECCV), 2020
Paper Slides Code
Publication: International Conference
Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning
https://sgvr.kaist.ac.kr/publication/adaptive-incident-radiance-field-sampling-and-reconstruction-using-deep-reinforcement-learning/
YUCHI HUO, RUI WANG, RUZAHNG ZHENG, HUALIN XU, HUJUN BAO, and SUNG-EUI YOON
TopACM Trans. on Graphics (ToG), 2020
Chosen as the cover image of the journal issue
Paper Sup. report
Publication: International Journal
Two-stream Spatiotemporal Feature for Video QA Task
https://sgvr.kaist.ac.kr/publication/two-stream-spatiotemporal-feature-for-video-qa-task/
Chiwan Song, Woobin Im, and Sung-eui Yoon
Arxiv, 2019
Publication: International Conference
Coarse-to-Fine Clothing Image Generation with Progressively Constructed Conditional GAN
https://sgvr.kaist.ac.kr/publication/coarse-to-fine-clothing-image-generation-with-progressively-constructed-conditional-gan/
Youngki Kwon, Soomin Kim, Donggeun Yoo, and Sung-Eui Yoon
International Conference on Computer Vision Theory and Application (VISAPP), 2019
Paper: Conference version (8pg) Full version (11pg)
Publication: International Conference, International Papers, Papers, PhD Course, Student
Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation
https://sgvr.kaist.ac.kr/publication/accv2018-age-estimation/
Woobin Im, Sungeun Hong, Sung-Eui Yoon, and Hyun S. Yang
Asian Conference on Computer Vision (ACCV), 2018
Source code: ZIP file Github page
[pdf] Korea Advanced Institute of Science and Technology (KAIST) Figure 1. Overall network framework of our method. In the bottleneck layer, we apply the adaptive triplet ranking strategy (L_T : … Continue reading "ACCV2018 Age Estimation"
Publication: International Conference
Regional Attention Based Deep Feature for Image Retrieval
https://sgvr.kaist.ac.kr/publication/regional-attention-based-deep-feature-for-image-retrieval/
Jaeyoon Kim and Sung-Eui Yoon
British Machine Vision Conference(BMVC), 2018
Source code: ZIP file, Github page
Publication: International Conference