Sun, Xiangyu

7 publications

CVPR 2025 Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Seungtae Nam, Xiangyu Sun, Gyeongjin Kang, Younggeun Lee, Seungjun Oh, Eunbyung Park

TMLR 2025 No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning Xiangyu Sun, Raquel Aoki, Kevin H. Wilson

CVPR 2024 Compact 3D Gaussian Representation for Radiance Field Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park

ECCV 2024 Deblurring 3D Gaussian Splatting Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park

NeurIPS 2023 Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing Xiangyu Sun, Oliver Schulte

AISTATS 2023 NTS-NOTEARS: Learning Nonparametric DBNs with Prior Knowledge Xiangyu Sun, Oliver Schulte, Guiliang Liu, Pascal Poupart

NeurIPS 2021 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning Guiliang Liu, Xiangyu Sun, Oliver Schulte, Pascal Poupart