Generative Models

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control ECCV 2024 EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning COLING 2024 Equivariant Neural Diffusion for Molecule Generation NeurIPS 2024 Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction MIDL 2024 ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations CVPR 2024 ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images CVPR 2024 Estimating Unknown Population Sizes Using the Hypergeometric Distribution ICML 2024 ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation NeurIPS 2024 ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections ICML 2024 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models CVPR 2024 Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior AAAI 2024 Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer’s Disease Data. MIDL 2024 Evaluating Diversity in Automatic Poetry Generation EMNLP 2024 Evaluating Model Bias Requires Characterizing its Mistakes ICML 2024 Evaluating Numerical Reasoning in Text-to-Image Models NeurIPS 2024 Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study COLING 2024 EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NeurIPS 2024 Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport NeurIPS 2024 Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs ICML 2024 Exploring DCN-like architecture for fast image generation with arbitrary resolution NeurIPS 2024 Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning NAACL 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Exploring the Robustness of Text-to-Speech Synthesis Based on Diffusion Probabilistic Models to Heavily Noisy Transcriptions Interspeech 2024