Generative Models

PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF AAAI 2024 Pose Modulated Avatars from Video ICLR 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Position: Data-driven Discovery with Large Generative Models ICML 2024 Position: Towards Implicit Prompt For Text-To-Image Models ICML 2024 Posterior Distillation Sampling CVPR 2024 PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation ECCV 2024 PostMark: A Robust Blackbox Watermark for Large Language Models EMNLP 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML 2024 PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning AAAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024 Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model EMNLP 2024 PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding CVPR 2024 Preference Alignment with Flow Matching NeurIPS 2024 Preferential Normalizing Flows NeurIPS 2024 Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation EMNLP 2024 Pre-Training and Fine-Tuning Generative Flow Networks ICLR 2024 Pre-training Neural Transducer-based Streaming Voice Conversion for Faster Convergence and Alignment-free Training Interspeech 2024 Preventing Model Collapse in Gaussian Process Latent Variable Models ICML 2024 Pricing and Competition for Generative AI NeurIPS 2024 Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training NeurIPS 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Privileged Prior Information Distillation for Image Matting AAAI 2024 Proactive Detection of Voice Cloning with Localized Watermarking ICML 2024 Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization JMLR 2024