Poster "variational autoencoder" Papers

15 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

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation

Nanxu Gong, Zijun Li, Sixun Dong et al.

NeurIPS 2025posterarXiv:2505.15152
7
citations

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling

Zhihao Li, Yufei Wang, Heliang Zheng et al.

NeurIPS 2025posterarXiv:2505.14521
34
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

Latent variable model for high-dimensional point process with structured missingness

Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki

ICML 2024poster

RangeLDM: Fast Realistic LiDAR Point Cloud Generation

Qianjiang Hu, Zhimin Zhang, Wei Hu

ECCV 2024posterarXiv:2403.10094
44
citations

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation

Jiashun Liu, Jianye Hao, Yi Ma et al.

ICML 2024poster