generative model

MEGA: Multilingual Evaluation of Generative AI EMNLP 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023 MGDD: A Meta Generator for Fast Dataset Distillation NeurIPS 2023 MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation AAAI 2023 Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation ICCV 2023 Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets AISTATS 2023 Minimizing Trajectory Curvature of ODE-based Generative Models ICML 2023 Mirror Diffusion Models for Constrained and Watermarked Generation NeurIPS 2023 Mixture of Normalizing Flows for European Option Pricing UAI 2023 MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises ICLR 2023 Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023 MoDi: Unconditional Motion Synthesis From Diverse Data CVPR 2023 MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation ICML 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023 MomentDiff: Generative Video Moment Retrieval from Random to Real NeurIPS 2023 Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation EMNLP 2023 Multilingual Conceptual Coverage in Text-to-Image Models ACL 2023 Multi-Objective GFlowNets ICML 2023 Multi-Realism Image Compression With a Conditional Generator CVPR 2023 Multisample Flow Matching: Straightening Flows with Minibatch Couplings ICML 2023 NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects ICCV 2023 Near-optimal Policy Identification in Active Reinforcement Learning ICLR 2023 Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023 Neural Texture Synthesis With Guided Correspondence CVPR 2023