Gao, Ruiqi

30 publications

ICCV 2025 Bolt3D: Generating 3D Scenes in Seconds Stanislaw Szymanowicz, Jason Y. Zhang, Pratul Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T. Barron, Philipp Henzler

CVPR 2025 CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski

ICLR 2025 On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu

CVPR 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas Guibas, Mingxing Tan, Dragomir Anguelov

CVPR 2025 SimVS: Simulating World Inconsistencies for Robust View Synthesis Alex Trevithick, Roni Paiss, Philipp Henzler, Dor Verbin, Rundi Wu, Hadi Alzayer, Ruiqi Gao, Ben Poole, Jonathan T. Barron, Aleksander Holynski, Ravi Ramamoorthi, Pratul P. Srinivasan

CVPR 2025 Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-Space Diffusion Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans

NeurIPS 2024 CAT3D: Create Anything in 3D with Multi-View Diffusion Models Ruiqi Gao, Aleksander Hołyński, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron, Ben Poole

NeurIPS 2024 EM Distillation for One-Step Diffusion Models Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

NeurIPS 2024 Generative Hierarchical Materials Search Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt, Brendan McMorrow, Danilo Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk

ICLR 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

ECCV 2024 MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space Armand Comas, Di Qiu, Menglei Chai, Marcel C. Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark J Matthews, Paulo Gotardo, Sergio Orts-Escolano, Thabo Beeler

CVPR 2024 ReconFusion: 3D Reconstruction with Diffusion Priors Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Ho?y?ski

NeurIPS 2023 Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

CVPR 2023 On Distillation of Guided Diffusion Models Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

NeurIPS 2023 Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik Kingma, Ruiqi Gao

NeurIPSW 2022 Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu

ICML 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

AAAI 2022 Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

ICLR 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu

NeurIPSW 2022 On Distillation of Guided Diffusion Models Chenlin Meng, Ruiqi Gao, Diederik P Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans

ICML 2021 A Theory of Label Propagation for Subpopulation Shift Tianle Cai, Ruiqi Gao, Jason Lee, Qi Lei

ICLR 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P Kingma

CVPR 2021 Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu

NeurIPS 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu

AAAI 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

NeurIPS 2020 Sanity-Checking Pruning Methods: Random Tickets Can Win the Jackpot Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason Lee

NeurIPS 2019 Convergence of Adversarial Training in Overparametrized Neural Networks Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason Lee

AAAI 2019 Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

ICLR 2019 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

AAAI 2018 Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu