latent space

Generative Model for Decision Trees AAAI 2024 GenesisTex: Adapting Image Denoising Diffusion to Texture Space CVPR 2024 Geometry of naturalistic object representations in recurrent neural network models of working memory NeurIPS 2024 Global Latent Neural Rendering CVPR 2024 Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing AAAI 2024 Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders NAACL 2024 HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach NeurIPS 2024 Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation WACV 2024 Hieros: Hierarchical Imagination on Structured State Space Sequence World Models ICML 2024 Idempotent Generative Network ICLR 2024 Identifying Linear Relational Concepts in Large Language Models NAACL 2024 Images that Sound: Composing Images and Sounds on a Single Canvas NeurIPS 2024 IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models ICLR 2024 InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization CVPR 2024 Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps NeurIPS 2024 Isometric Representation Learning for Disentangled Latent Space of Diffusion Models ICML 2024 Joint Composite Latent Space Bayesian Optimization ICML 2024 Joint-Task Regularization for Partially Labeled Multi-Task Learning CVPR 2024 Kepler codebook ICML 2024 LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning ICML 2024 LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion CVPR 2024 Latent 3D Graph Diffusion ICLR 2024 Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024 Latent Neural Operator for Solving Forward and Inverse PDE Problems NeurIPS 2024 Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming ICML 2024