Models

Compositional Law Parsing with Latent Random Functions ICLR 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Compositional Sculpting of Iterative Generative Processes NeurIPS 2023 Composition and Deformance: Measuring Imageability with a Text-to-Image Model ACL 2023 Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small WACV 2023 Compressing Volumetric Radiance Fields to 1 MB CVPR 2023 Compression with Bayesian Implicit Neural Representations NeurIPS 2023 Concept Algebra for (Score-Based) Text-Controlled Generative Models NeurIPS 2023 Conceptual and Hierarchical Latent Space Decomposition for Face Editing ICCV 2023 Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow UAI 2023 Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration ICCV 2023 Conditional Antibody Design as 3D Equivariant Graph Translation ICLR 2023 Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation AAAI 2023 Conditional Graph Information Bottleneck for Molecular Relational Learning ICML 2023 Conditional Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023 Conditionally Strongly Log-Concave Generative Models ICML 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 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 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