Models

Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling ICLR 2023 OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis CVPR 2023 OmniMAE: Single Model Masked Pretraining on Images and Videos CVPR 2023 OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation CVPR 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models ICML 2023 On Calibrating Diffusion Probabilistic Models NeurIPS 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 On Distillation of Guided Diffusion Models CVPR 2023 One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization NeurIPS 2023 One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models NeurIPS 2023 One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field CVPR 2023 One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023 One-Step Diffusion Distillation via Deep Equilibrium Models NeurIPS 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023 On Improving Summarization Factual Consistency from Natural Language Feedback ACL 2023 On Investigating the Conservative Property of Score-Based Generative Models ICML 2023 On Kinetic Optimal Probability Paths for Generative Models ICML 2023 Online Clustered Codebook ICCV 2023 On Measuring Fairness in Generative Models NeurIPS 2023 On Pre-training Language Model for Antibody ICLR 2023 On Provable Copyright Protection for Generative Models ICML 2023 On Sampling with Approximate Transport Maps ICML 2023 On the Calibration of Large Language Models and Alignment EMNLP 2023 On the choice of Perception Loss Function for Learned Video Compression NeurIPS 2023 On the Convergence of Black-Box Variational Inference NeurIPS 2023