generative model

Patentformer: A Novel Method to Automate the Generation of Patent Applications EMNLP 2024 PathLDM: Text Conditioned Latent Diffusion Model for Histopathology WACV 2024 pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization NeurIPS 2024 PEGASUS: Personalized Generative 3D Avatars with Composable Attributes CVPR 2024 Perceptual Scales Predicted by Fisher Information Metrics ICLR 2024 PFStorer: Personalized Face Restoration and Super-Resolution CVPR 2024 PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion CVPR 2024 Piecewise deterministic generative models NeurIPS 2024 Pluggable Watermarking of Deepfake Models for Deepfake Detection IJCAI 2024 Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection AAAI 2024 Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data CVPR 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Position: What makes an image realistic? ICML 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML 2024 Preference Alignment with Flow Matching NeurIPS 2024 Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning COLING 2024 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NeurIPS 2024 Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization JMLR 2024 Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes ICML 2024 Probabilistic Neural Circuits AAAI 2024 Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model ICML 2024 Probablistic Emulation of a Global Climate Model with Spherical DYffusion NeurIPS 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NeurIPS 2024 Prompt Expansion for Adaptive Text-to-Image Generation ACL 2024