Park, Jaesik

58 publications

ICCV 2025 BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes Minkyun Seo, Hyungtae Lim, Kanghee Lee, Luca Carlone, Jaesik Park

ICCV 2025 CF3: Compact and Fast 3D Feature Fields Hyunjoon Lee, Joonkyu Min, Jaesik Park

ICLR 2025 Designing Concise ConvNets with Columnar Stages Ashish Kumar, Jaesik Park

ICCV 2025 Exploring Multimodal Diffusion Transformers for Enhanced Prompt-Based Image Editing Joonghyuk Shin, Alchan Hwang, Yujin Kim, Daneul Kim, Jaesik Park

NeurIPS 2025 Holistic Order Prediction in Natural Scenes Pierre Musacchio, Hyunmin Lee, Jaesik Park

CVPR 2025 Improving Editability in Image Generation with Layer-Wise Memory Daneul Kim, Jaeah Lee, Jaesik Park

ICLR 2025 Locality-Aware Gaussian Compression for Fast and High-Quality Rendering Seungjoo Shin, Jaesik Park, Sunghyun Cho

NeurIPS 2025 Metropolis-Hastings Sampling for 3D Gaussian Reconstruction Hyunjin Kim, Haebeom Jung, Jaesik Park

NeurIPS 2025 OpenBox: Annotate Any Bounding Boxes in 3D In-Jae Lee, Mungyeom Kim, Kwonyoung Ryu, Pierre Musacchio, Jaesik Park

CVPR 2025 Recovering Dynamic 3D Sketches from Videos Jaeah Lee, Changwoon Choi, Young Min Kim, Jaesik Park

CVPR 2025 ShowMak3r: Compositional TV Show Reconstruction Sangmin Kim, Seunguk Do, Jaesik Park

NeurIPS 2025 Tree-Guided Diffusion Planner Hyeonseong Jeon, Cheolhong Min, Jaesik Park

ICML 2024 3D Geometric Shape Assembly via Efficient Point Cloud Matching Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho

TMLR 2024 Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park

ECCV 2024 Deep Cost Ray Fusion for Sparse Depth Video Completion Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee

ECCV 2024 Distilling Diffusion Models into Conditional GANs MinGuk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park

CVPR 2024 Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho

CVPR 2024 Pick-or-Mix: Dynamic Channel Sampling for ConvNets Ashish Kumar, Daneul Kim, Jaesik Park, Laxmidhar Behera

NeurIPS 2023 Binary Radiance Fields Seungjoo Shin, Jaesik Park

CVPR 2023 Instant Domain Augmentation for LiDAR Semantic Segmentation Kwonyoung Ryu, Soonmin Hwang, Jaesik Park

CVPR 2023 Scaling up GANs for Text-to-Image Synthesis Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park

ICCV 2023 Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction Jaesung Choe, Christopher Choy, Jaesik Park, In So Kweon, Anima Anandkumar

ICML 2023 Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho

CVPR 2022 3D Scene Painting via Semantic Image Synthesis Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park

NeurIPS 2022 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

ECCV 2022 CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee

ICLR 2022 Deep Point Cloud Reconstruction Jaesung Choe, ByeongIn Joung, Francois Rameau, Jaesik Park, In So Kweon

CVPR 2022 Fast Point Transformer Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park

CVPR 2022 Instance-Wise Occlusion and Depth Orders in Natural Scenes Hyunmin Lee, Jaesik Park

NeurIPS 2022 Learning Debiased Classifier with Biased Committee Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

ICMLW 2022 Learning Debiased Classifier with Biased Committee Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

IJCAI 2022 Learning to Assemble Geometric Shapes Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

NeurIPS 2022 PeRFception: Perception Using Radiance Fields Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Chris Choy, Anima Anandkumar, Minsu Cho, Jaesik Park

ECCV 2022 PointMixer: MLP-Mixer for Point Cloud Understanding Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon

NeurIPSW 2022 SeLCA: Self-Supervised Learning of Canonical Axis Seungwook Kim, Yoonwoo Jeong, Chunghyun Park, Jaesik Park, Minsu Cho

ECCV 2022 Style-Agnostic Reinforcement Learning Juyong Lee, Seokjun Ahn, Jaesik Park

NeurIPSW 2022 Substructure-Atom Cross Attention for Molecular Representation Learning Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park

NeurIPS 2021 Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho

ICCV 2021 Deep Hough Voting for Robust Global Registration Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park

ICCV 2021 Deep Virtual Markers for Articulated 3D Shapes Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee

WACV 2021 High-Quality Frame Interpolation via Tridirectional Inference Jinsoo Choi, Jaesik Park, In So Kweon

NeurIPS 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park

ICCV 2021 Self-Calibrating Neural Radiance Fields Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Anima Anandkumar, Minsu Cho, Jaesik Park

NeurIPS 2020 ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang, Jaesik Park

NeurIPSW 2020 Fragment Relation Networks for Geometric Shape Assembly Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

CVPRW 2017 A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms Ole Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, Jinsun Park, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, Hao Zhu

ICCV 2017 Colored Point Cloud Registration Revisited Jaesik Park, Qian-Yi Zhou, Vladlen Koltun

CVPR 2016 Efficient and Robust Color Consistency for Community Photo Collections Jaesik Park, Yu-Wing Tai, Sudipta N. Sinha, In So Kweon

ECCV 2016 Fast Global Registration Qian-Yi Zhou, Jaesik Park, Vladlen Koltun

CVPR 2016 High-Quality Depth from Uncalibrated Small Motion CLIP Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In So Kweon

CVPR 2015 Accurate Depth mAP Estimation from a Lenslet Light Field Camera Hae-Gon Jeon, Jaesik Park, Gyeongmin Choe, Jinsun Park, Yunsu Bok, Yu-Wing Tai, In So Kweon

CVPR 2015 Multispectral Pedestrian Detection: Benchmark Dataset and Baseline Soonmin Hwang, Jaesik Park, Namil Kim, Yukyung Choi, In So Kweon

CVPR 2014 Calibrating a Non-Isotropic near Point Light Source Using a Plane Jaesik Park, Sudipta N. Sinha, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon

CVPR 2014 Exploiting Shading Cues in Kinect IR Images for Geometry Refinement Gyeongmin Choe, Jaesik Park, Yu-Wing Tai, In So Kweon

ICCV 2013 Multiview Photometric Stereo Using Planar Mesh Parameterization Jaesik Park, Sudipta N. Sinha, Yasuyuki Matsushita, Yu-Wing Tai, In So Kweon

ECCV 2012 A Tensor Voting Approach for Multi-View 3D Scene Flow Estimation and Refinement Jaesik Park, Tae Hyun Oh, Jiyoung Jung, Yu-Wing Tai, In-So Kweon

CVPR 2012 Identigram/watermark Removal Using Cross-Channel Correlation Jaesik Park, Yu-Wing Tai, In-So Kweon

ICCV 2011 High Quality Depth mAP Upsampling for 3D-TOF Cameras Jaesik Park, Hyeongwoo Kim, Yu-Wing Tai, Michael S. Brown, In-So Kweon