Generative Models

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication ICLR 2024 Language + Molecules EACL 2024 Large Scale Dataset Distillation with Domain Shift ICML 2024 Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024 Latent Intrinsics Emerge from Training to Relight NeurIPS 2024 Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming ICML 2024 Latent Space Editing in Transformer-Based Flow Matching AAAI 2024 Latent Space Symmetry Discovery ICML 2024 latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction ECCV 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 Layout-Agnostic Scene Text Image Synthesis with Diffusion Models CVPR 2024 LDMVFI: Video Frame Interpolation with Latent Diffusion Models AAAI 2024 Learned Lossless Image Compression based on Bit Plane Slicing CVPR 2024 Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving ACL 2024 Learning 3D Garment Animation from Trajectories of A Piece of Cloth NeurIPS 2024 Learning 3D Particle-based Simulators from RGB-D Videos ICLR 2024 Learning Bregman Divergences with Application to Robustness NeurIPS 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024 Learning Continuous 3D Words for Text-to-Image Generation CVPR 2024 Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling AAAI 2024 Learning Dense Correspondence for NeRF-Based Face Reenactment AAAI 2024 Learning Diffusion Priors from Observations by Expectation Maximization NeurIPS 2024 Learning Diffusion Texture Priors for Image Restoration CVPR 2024 Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024