← Authors

Ruiqi Gao

32 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (64) πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (164) πŸ’Ž Century Club (32) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

CVPR (11) NIPS (8) ICLR (5) AAAI (3) ICML (2) ECCV (1) EMNLP (1) ICCV (1)

Top co-authors

Ying Nian Wu (17) Song-chun Zhu (12) Jianwen Xie (7) Ben Poole (6) Jonathan T. Barron (5) Philipp Henzler (4) Rundi Wu (3) Yaxuan Zhu (3) Tianle Cai (3) Zilong Zheng (3)

Keywords

generative model (10) diffusion model (9) energy-based model (5) novel view synthesis (5) image generation (5) 3d reconstruction (4) maximum likelihood (3) markov chain monte carlo (3) latent diffusion (3) domain adaptation (2) variational inference (2) model compression (2) disentangled representation (2) semi-supervised learning (2) model distillation (2) mcmc sampling (2) knowledge distillation (2) video generation (2) unsupervised learning (2) data augmentation (2)

Papers

Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion CVPR 2025
Bolt3D: Generating 3D Scenes in Seconds ICCV 2025
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding ICLR 2025
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models CVPR 2025
SimVS: Simulating World Inconsistencies for Robust View Synthesis CVPR 2025
SceneCrafter: Controllable Multi-View Driving Scene Editing CVPR 2025
Generative Hierarchical Materials Search NIPS 2024
CAT3D: Create Anything in 3D with Multi-View Diffusion Models NIPS 2024
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space ECCV 2024
Large Language Models are Limited in Out-of-Context Knowledge Reasoning EMNLP 2024
ReconFusion: 3D Reconstruction with Diffusion Priors CVPR 2024
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ICLR 2024
EM Distillation for One-step Diffusion Models NIPS 2024
On Distillation of Guided Diffusion Models CVPR 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC NIPS 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 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
Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis CVPR 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021
A Theory of Label Propagation for Subpopulation Shift ICML 2021
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NIPS 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 NIPS 2020
Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019
Convergence of Adversarial Training in Overparametrized Neural Networks NIPS 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion ICLR 2019
Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018