conditional generation

Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion CVPR 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Elucidating the design space of classifier-guided diffusion generation ICLR 2024 FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation NeurIPS 2024 FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models CVPR 2024 GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING ICLR 2024 Guidance with Spherical Gaussian Constraint for Conditional Diffusion ICML 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 ImagenHub: Standardizing the evaluation of conditional image generation models ICLR 2024 Improving Minimum Bayes Risk Decoding with Multi-Prompt EMNLP 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024 Instruction Position Matters in Sequence Generation with Large Language Models ACL 2024 InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models CVPR 2024 It's All About Your Sketch: Democratising Sketch Control in Diffusion Models CVPR 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NeurIPS 2024 KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding AAAI 2024 Label-Noise Robust Diffusion Models ICLR 2024 Language-driven Grasp Detection CVPR 2024 Latent Diffusion for Neural Spiking Data NeurIPS 2024 Latent Feature-Guided Diffusion Models for Shadow Removal WACV 2024 LDMVFI: Video Frame Interpolation with Latent Diffusion Models AAAI 2024 Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024 Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NeurIPS 2024 MaGIC: Multi-modality Guided Image Completion ICLR 2024 Make-A-Shape: a Ten-Million-scale 3D Shape Model ICML 2024