"variational autoencoder" Papers
13 papers found
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner, Rahman Khorramfar, Jennifer Sun et al.
ICLR 2025posterarXiv:2409.03731
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang, Yuan Dong, Hanwen Jiang et al.
ICLR 2025posterarXiv:2408.13055
10
citations
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Wenxin Su, Song Tang, Xiaofeng Liu et al.
CVPR 2025posterarXiv:2412.01203
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors
Tian-Xing Xu, Xiangjun Gao, Wenbo Hu et al.
ICCV 2025posterarXiv:2504.01016
19
citations
Improved Video VAE for Latent Video Diffusion Model
Pingyu Wu, Kai Zhu, Yu Liu et al.
CVPR 2025posterarXiv:2411.06449
19
citations
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
Xiangxiang Chu, Renda Li, Yong Wang
ICCV 2025posterarXiv:2503.06132
17
citations
Autoencoding Conditional Neural Processes for Representation Learning
Victor Prokhorov, Ivan Titov, Siddharth N
ICML 2024poster
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
Ashesh Ashesh, Florian Jug
ECCV 2024posterarXiv:2403.11854
4
citations
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor et al.
ICML 2024poster
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
Chenliang Zhou, Fangcheng Zhong, Param Hanji et al.
ECCV 2024posterarXiv:2311.12090
7
citations
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuel Brenner, Florian Hess, Georgia Koppe et al.
ICML 2024oral
Latent variable model for high-dimensional point process with structured missingness
Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki
ICML 2024poster
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
Jiashun Liu, Jianye Hao, Yi Ma et al.
ICML 2024poster