Generative Models

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs CVPR 2023 Non-adversarial training of Neural SDEs with signature kernel scores NeurIPS 2023 Non-Autoregressive Document-Level Machine Translation EMNLP 2023 NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization ACL 2023 Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling EMNLP 2023 Nonparametric Decoding for Generative Retrieval ACL 2023 Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows ICML 2023 Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection CVPR 2023 Normalizing flow neural networks by JKO scheme NeurIPS 2023 Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023 NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models CVPR 2023 NUWA-LIP: Language-Guided Image Inpainting With Defect-Free VQGAN CVPR 2023 NVTC: Nonlinear Vector Transform Coding CVPR 2023 Objaverse: A Universe of Annotated 3D Objects CVPR 2023 OBJECT 3DIT: Language-guided 3D-aware Image Editing NeurIPS 2023 Occlusion-Free Scene Recovery via Neural Radiance Fields CVPR 2023 OCR-VQGAN: Taming Text-Within-Image Generation WACV 2023 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 Octree Guided Unoriented Surface Reconstruction CVPR 2023 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 On Calibrating Diffusion Probabilistic Models NeurIPS 2023 One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models NeurIPS 2023