Ruiqi Gao

VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression CVPR 2026 ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training CVPR 2026 Bolt3D: Generating 3D Scenes in Seconds ICCV 2025 CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models CVPR 2025 On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding ICLR 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing CVPR 2025 Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion CVPR 2025 SimVS: Simulating World Inconsistencies for Robust View Synthesis CVPR 2025 CAT3D: Create Anything in 3D with Multi-View Diffusion Models NeurIPS 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 Generative Hierarchical Materials Search NeurIPS 2024 Large Language Models are Limited in Out-of-Context Knowledge Reasoning EMNLP 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ICLR 2024 MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space ECCV 2024 ReconFusion: 3D Reconstruction with Diffusion Priors CVPR 2024 Learning Energy-Based Prior Model with Diffusion-Amortized MCMC NeurIPS 2023 On Distillation of Guided Diffusion Models CVPR 2023 Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NeurIPS 2023 Latent Diffusion Energy-Based Model for Interpretable Text Modelling ICML 2022 Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion AAAI 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 A Theory of Label Propagation for Subpopulation Shift ICML 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021 Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis CVPR 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NeurIPS 2021 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NeurIPS 2020 Convergence of Adversarial Training in Overparametrized Neural Networks NeurIPS 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion ICLR 2019 Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018