Generative Models

Minimum Entropy Coupling with Bottleneck NeurIPS 2024 MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions NeurIPS 2024 Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024 Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis MLHC 2024 Mixed variational flows for discrete variables AISTATS 2024 Mixture of neural fields for heterogeneous reconstruction in cryo-EM NeurIPS 2024 Mixture of Tokens: Continuous MoE through Cross-Example Aggregation NeurIPS 2024 MMM: Generative Masked Motion Model CVPR 2024 MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos CVPR 2024 ModaVerse: Efficiently Transforming Modalities with LLMs CVPR 2024 MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts AAAI 2024 Modelling complex vector drawings with stroke-clouds ICLR 2024 MoEUT: Mixture-of-Experts Universal Transformers NeurIPS 2024 MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design ICLR 2024 MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling NeurIPS 2024 MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space ICML 2024 Molecular Optimization Model with Patentability Constraint AAAI 2024 Molecule Design by Latent Prompt Transformer NeurIPS 2024 Molecule Generation with Fragment Retrieval Augmentation NeurIPS 2024 MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts AAAI 2024 MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction EMNLP 2024 MoMask: Generative Masked Modeling of 3D Human Motions CVPR 2024 MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024 Mosaic-SDF for 3D Generative Models CVPR 2024 MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading CVPR 2024