Diffusion Models

Comparing normalizing flows and diffusion models for prosody and acoustic modelling in text-to-speech Interspeech 2023 Complex Event Schema Induction with Knowledge-Enriched Diffusion Model EMNLP 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling NeurIPS 2023 Composable Part-Based Manipulation CoRL 2023 Composer: Creative and Controllable Image Synthesis with Composable Conditions ICML 2023 Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task NeurIPS 2023 Compositional Diffusion-Based Continuous Constraint Solvers CoRL 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Compositional Sculpting of Iterative Generative Processes NeurIPS 2023 Compressing Volumetric Radiance Fields to 1 MB CVPR 2023 Concept Algebra for (Score-Based) Text-Controlled Generative Models NeurIPS 2023 Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation AAAI 2023 Conditional Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023 Conditional score-based diffusion models for Bayesian inference in infinite dimensions NeurIPS 2023 Conditional Score Guidance for Text-Driven Image-to-Image Translation NeurIPS 2023 Conditional Text Image Generation With Diffusion Models CVPR 2023 Cones: Concept Neurons in Diffusion Models for Customized Generation ICML 2023 ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image NeurIPS 2023 Consistency is Key: On Data-Efficient Modality Transfer in Speech Translation EMNLP 2023 Consistency Models ICML 2023 Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent NeurIPS 2023 Consistent View Synthesis With Pose-Guided Diffusion Models CVPR 2023 Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing NeurIPS 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023 Continuous-Time Functional Diffusion Processes NeurIPS 2023