generative model

PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 PaintSeg: Painting Pixels for Training-free Segmentation NeurIPS 2023 Parallel Sampling of Diffusion Models NeurIPS 2023 Patch-Based 3D Natural Scene Generation From a Single Example CVPR 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting ICCV 2023 Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task ACL 2023 Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation CVPR 2023 Perfectly Secure Steganography Using Minimum Entropy Coupling ICLR 2023 Persistent Nature: A Generative Model of Unbounded 3D Worlds CVPR 2023 ‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion EMNLP 2023 PFGM++: Unlocking the Potential of Physics-Inspired Generative Models ICML 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption ICCV 2023 Physics-Driven ML-Based Modelling for Correcting Inverse Estimation NeurIPS 2023 Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation NeurIPS 2023 Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023 Polynomial Implicit Neural Representations for Large Diverse Datasets CVPR 2023 Post-Training Quantization on Diffusion Models CVPR 2023 Precision Recall Cover: A Method For Assessing Generative Models AISTATS 2023 Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting NeurIPS 2023 Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer AAAI 2023 Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation CVPR 2023 Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023 Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference UAI 2023 Probing the “Creativity” of Large Language Models: Can models produce divergent semantic association? EMNLP 2023