Generative Models

Compositional Generalization for Data-to-Text Generation EMNLP 2023 Compositional Law Parsing with Latent Random Functions ICLR 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 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 Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023 Conditionally Strongly Log-Concave Generative Models ICML 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Consistency Models ICML 2023 Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent NeurIPS 2023 ContactGen: Generative Contact Modeling for Grasp Generation ICCV 2023 Content-Aware Local GAN for Photo-Realistic Super-Resolution ICCV 2023 Continual Learning for Personalized Co-speech Gesture Generation ICCV 2023 Continual Zero-Shot Learning through Semantically Guided Generative Random Walks ICCV 2023 Continuously Parameterized Mixture Models ICML 2023 Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023 Continuous-Time Functional Diffusion Processes NeurIPS 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023