Yi, Kwang Moo

43 publications

CVPR 2025 HyperNet Fields: Efficiently Training Hypernetworks Without Ground Truth by Learning Weight Trajectories Eric Hedlin, Munawar Hayat, Fatih Porikli, Kwang Moo Yi, Shweta Mahajan

ICCV 2025 Radiant Foam: Real-Time Differentiable Ray Tracing Shrisudhan Govindarajan, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

ICCV 2025 StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting Shakiba Kheradmand, Delio Vicini, George Kopanas, Dmitry Lagun, Kwang Moo Yi, Mark Matthews, Andrea Tagliasacchi

NeurIPS 2024 3D Gaussian Splatting as Markov Chain Monte Carlo Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2024 Accelerating Neural Field Training via Soft Mining Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2024 BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction Akhmedkhan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

ECCV 2024 Lagrangian Hashing for Compressed Neural Field Representations Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Weiwei Sun, Daniel Rebain, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2024 Neural Fields as Distributions: Signal Processing Beyond Euclidean Space Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

ECCV 2024 PointNeRF++: A Multi-Scale, Point-Based Neural Radiance Field Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2024 Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models Shweta Mahajan, Tanzila Rahman, Kwang Moo Yi, Leonid Sigal

ECCV 2024 Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-Training Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min

CVPR 2024 Unsupervised Keypoints from Pretrained Diffusion Models Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2024 ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models Jeong-gi Kwak, Erqun Dong, Yuhe Jin, Hanseok Ko, Shweta Mahajan, Kwang Moo Yi

ECCV 2024 Volumetric Rendering with Baked Quadrature Fields Gopal Sharma, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

TMLR 2023 Attention Beats Concatenation for Conditioning Neural Fields Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi

CVPR 2023 BlendFields: Few-Shot Example-Driven Facial Modeling Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzciński, Marek Kowalski

CVPR 2023 FaceLit: Neural 3D Relightable Faces Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel

CVPR 2023 Neural Fourier Filter Bank Zhijie Wu, Yuhe Jin, Kwang Moo Yi

WACV 2023 NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2023 Pointersect: Neural Rendering with Cloud-Ray Intersection Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

NeurIPS 2023 Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2022 CoNeRF: Controllable Neural Radiance Fields Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Tagliasacchi

CVPR 2022 Kubric: A Scalable Dataset Generator Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

CVPR 2022 LOLNerf: Learn from One Look Daniel Rebain, Mark Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi

ECCV 2022 Layered Controllable Video Generation Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal

ECCV 2022 NeuMan: Neural Human Radiance Field from a Single Video Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan

WACV 2022 Novel-View Synthesis of Human Tourist Photos Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang

NeurIPS 2022 TUSK: Task-Agnostic Unsupervised Keypoints Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi

ICCV 2021 COTR: Correspondence Transformer for Matching Across Images Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi

NeurIPS 2021 Canonical Capsules: Self-Supervised Capsules in Canonical Pose Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi

CVPR 2021 DeRF: Decomposed Radiance Fields Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2021 MIST: Multiple Instance Spatial Transformer Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi

CVPR 2021 VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jinyeop Chang, Youngjune Gwon, Hyung Jin Chang

WACV 2020 Optimizing Through Learned Errors for Accurate Sports Field Registration Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi

CVPRW 2020 VoronoiNet : General Functional Approximators with Local Support Francis Williams, Jérôme Parent-Lévesque, Derek Nowrouzezahrai, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi

NeurIPS 2018 LF-Net: Learning Local Features from Images Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi

ECCV 2016 LIFT: Learned Invariant Feature Transform Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua

CVPR 2016 Learning to Assign Orientations to Feature Points Kwang Moo Yi, Yannick Verdie, Pascal Fua, Vincent Lepetit

ICCV 2015 A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit

WACV 2015 Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception Hawook Jeong, Sangdoo Yun, Kwang Moo Yi, Jin Young Choi

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

CVPRW 2013 Detection of Moving Objects with Non-Stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device Kwang Moo Yi, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, Jin Young Choi

ICCV 2013 Initialization-Insensitive Visual Tracking Through Voting with Salient Local Features Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi