variational autoencoder

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis ICLR 2025 Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence ICCV 2025 Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals CVPR 2025 Generative Modeling of Class Probability for Multi-Modal Representation Learning CVPR 2025 GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs ICLR 2025 GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder ICML 2025 GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors ICCV 2025 GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis using Convolutional Neural Networks WACV 2025 Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025 Harmonizing Visual Representations for Unified Multimodal Understanding and Generation ICCV 2025 Head2Body: Body Pose Generation from Multi-sensory Head-mounted Inputs ICCV 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders ICLR 2025 High-Quality Joint Image and Video Tokenization with Causal VAE ICLR 2025 HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation ICCV 2025 i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation UAI 2025 Identifying latent state transitions in non-linear dynamical systems ICLR 2025 IMAGDressing-v1: Customizable Virtual Dressing AAAI 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Improved Video VAE for Latent Video Diffusion Model CVPR 2025 Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding CVPR 2025 Infant Action Generative Modeling WACV 2025 Interaction Asymmetry: A General Principle for Learning Composable Abstractions ICLR 2025 Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems IJCAI 2025 Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems AISTATS 2025 Kernel Learning for Sample Constrained Black-Box Optimization AAAI 2025