Generative Models

Diffusion Models for Multi-Task Generative Modeling ICLR 2024 Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance CVPR 2024 Diffusion-TS: Interpretable Diffusion for General Time Series Generation ICLR 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design ICML 2024 DisCo: Disentangled Control for Realistic Human Dance Generation CVPR 2024 Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining ACL 2024 Discrete Flow Matching NeurIPS 2024 Discriminative Feature Decoupling Enhancement for Speech Forgery Detection IJCAI 2024 Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024 Disentangled 3D Scene Generation with Layout Learning ICML 2024 Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection NeurIPS 2024 Disentanglement Learning via Topology ICML 2024 Disguised Copyright Infringement of Latent Diffusion Models ICML 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NeurIPS 2024 Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation EMNLP 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024 Distribution Learning with Valid Outputs Beyond the Worst-Case NeurIPS 2024 DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data CVPR 2024 Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration AAAI 2024 Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract) AAAI 2024