Cover Image

Latent Dirichlet Transformer VAE for Hyperspectral Unmixing with Bundled Endmembers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Giannetti, Giancarlo, Qureshi, Faisal Z.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
by: Mantripragada, Kiran, et al.
Published: (2022)

SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing
by: Chitnis, Soham, et al.
Published: (2023)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
by: Bhusal, Gokul, et al.
Published: (2025)

Hyperspectral Unmixing Under Endmember Variability: A Variational Inference Framework
by: Li, Yuening, et al.
Published: (2024)

A Generalized Multiscale Bundle-Based Hyperspectral Sparse Unmixing Algorithm
by: Ayres, Luciano Carvalho, et al.
Published: (2024)

Transformer for Multitemporal Hyperspectral Image Unmixing
by: Li, Hang, et al.
Published: (2024)

Transformer-Guided Content-Adaptive Graph Learning for Hyperspectral Unmixing
by: Chen, Hui, et al.
Published: (2025)

Hyperspectral Unmixing Hierarchies
by: Garrett, Joseph L., et al.
Published: (2026)

CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer
by: Sivakumar, Srivathsan, et al.
Published: (2025)

A Deep Equilibrium Network for Hyperspectral Unmixing
by: Wang, Chentong, et al.
Published: (2026)

Diffusion Posterior Sampler for Hyperspectral Unmixing with Spectral Variability Modeling
by: Zhu, Yimin, et al.
Published: (2025)

End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking
by: Han, Xu, et al.
Published: (2026)

Multitemporal Latent Dynamical Framework for Hyperspectral Images Unmixing
by: Li, Ruiying, et al.
Published: (2025)

SWAN: Self-supervised Wavelet Neural Network for Hyperspectral Image Unmixing
by: Ramchandani, Yassh, et al.
Published: (2025)

Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning
by: Bottenmuller, Antoine, et al.
Published: (2026)

A Copula-Guided Temporal Dependency Method for Multitemporal Hyperspectral Images Unmixing
by: Li, Ruiying, et al.
Published: (2025)

Unmixing-Guided Spatial-Spectral Mamba with Clustering Tokens for Hyperspectral Image Classification
by: Zhu, Yimin, et al.
Published: (2026)

Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability
by: Ding, Meng, et al.
Published: (2025)

DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing
by: Wang, ChenTong, et al.
Published: (2025)

Hyperspectral Unmixing with 3D Convolutional Sparse Coding and Projected Simplex Volume Maximization
by: Panda, Gargi, et al.
Published: (2025)

SMILE: A Super-resolution Guided Multi-task Learning Method for Hyperspectral Unmixing
by: Li, Ruiying, et al.
Published: (2025)

Hyperspectral Image Generation with Unmixing Guided Diffusion Model
by: Shen, Shiyu, et al.
Published: (2025)

UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution
by: Yu, Yang
Published: (2024)

Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
by: Zhang, Yingkai, et al.
Published: (2026)

A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification
by: Giannetti, Christian
Published: (2024)

Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations
by: Doutsas, D., et al.
Published: (2025)

DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation
by: Yuan, Zhihang, et al.
Published: (2025)

TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
by: Munir, Ans, et al.
Published: (2025)

Compositional Zero-Shot Learning: A Survey
by: Munir, Ans, et al.
Published: (2025)

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
by: Leng, Xingjian, et al.
Published: (2025)

Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis
by: Pastorino, Martina, et al.
Published: (2025)

Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
by: Chen, Hui, et al.
Published: (2025)

DA-VAE: Plug-in Latent Compression for Diffusion via Detail Alignment
by: Cai, Xin, et al.
Published: (2026)

Physics-Guided Regime Unmixing
by: Pacheco, Paula, et al.
Published: (2026)

Sparsity and Total Variation Constrained Multilayer Linear Unmixing for Hyperspectral Imagery
by: Yang, Gang
Published: (2025)

Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning
by: Mehrdad, Saeid, et al.
Published: (2024)

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
by: Paura, Vytautas, et al.
Published: (2024)

WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
by: Li, Zongjian, et al.
Published: (2024)

Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation
by: Edirimuni, Dasith de Silva, et al.
Published: (2026)

Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning
by: Ferrari, Mattia, et al.
Published: (2025)