Diffusion Models

Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration NeurIPS 2024 MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ICLR 2024 MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation CVPR 2024 MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs NeurIPS 2024 MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis CVPR 2024 MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model CVPR 2024 MINDE: Mutual Information Neural Diffusion Estimation ICLR 2024 Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions ICML 2024 MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions NeurIPS 2024 Mitigating Motion Blur in Neural Radiance Fields with Events and Frames CVPR 2024 Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space ICLR 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 MMA-Diffusion: MultiModal Attack on Diffusion Models CVPR 2024 MMM: Generative Masked Motion Model CVPR 2024 MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation NeurIPS 2024 MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis AAAI 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation MIDL 2024 Modular Blind Video Quality Assessment CVPR 2024 Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects ICLR 2024 MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design ICLR 2024 MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts NeurIPS 2024 MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence NeurIPS 2024 MonoDiff: Monocular 3D Object Detection and Pose Estimation with Diffusion Models CVPR 2024 Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. ICLR 2024