Cover Image

Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vali, Mohammad Hassan, Bäckström, Tom
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
by: Wang, Haishan, et al.
Published: (2025)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
by: Kangin, Dmitry, et al.
Published: (2024)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
by: Yang, Jiawen, et al.
Published: (2025)

Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
by: Corcuera, Bruno, et al.
Published: (2025)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
by: Zeng, E. Zhixuan, et al.
Published: (2024)

Zero-Shot Quantization via Weight-Space Arithmetic
by: Solombrino, Daniele, et al.
Published: (2026)

Federated Domain Generalization with Latent Space Inversion
by: Palakkadavath, Ragja, et al.
Published: (2025)

DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025)

Constructing Fair Latent Space for Intersection of Fairness and Explainability
by: Joo, Hyungjun, et al.
Published: (2024)

Pixel-Space Post-Training of Latent Diffusion Models
by: Zhang, Christina, et al.
Published: (2024)

BRo-JEPA: Learning Modular Arithmetic in Latent Space
by: Jha, Divyansh, et al.
Published: (2026)

Scalable GANs with Transformers
by: Hyun, Sangeek, et al.
Published: (2025)

Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)

SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space
by: Redekop, Ekaterina, et al.
Published: (2025)

Panoptic Pairwise Distortion Graph
by: Janjua, Muhammad Kamran, et al.
Published: (2026)

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
by: Vali, Mohammad Hassan, et al.
Published: (2025)

The Evolving Nature of Latent Spaces: From GANs to Diffusion
by: Schaerf, Ludovica
Published: (2025)

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
by: Zhao, Xuekun, et al.
Published: (2022)

Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
by: Pahde, Frederik, et al.
Published: (2022)

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model
by: Wang, Guanchun, et al.
Published: (2025)

Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
by: Paeedeh, Naeem, et al.
Published: (2025)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
by: Hu, Chen, et al.
Published: (2024)

Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning
by: Islam, A. K. M. Shoriful, et al.
Published: (2025)

Open-Vocabulary Panoptic Segmentation Using BERT Pre-Training of Vision-Language Multiway Transformer Model
by: Chen, Yi-Chia, et al.
Published: (2024)

Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
by: Van Assel, Hugues, et al.
Published: (2025)

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
by: Kotyan, Shashank, et al.
Published: (2023)

Reducing Hallucinations in Vision-Language Models via Latent Space Steering
by: Liu, Sheng, et al.
Published: (2024)

Latent Space Probing for Adult Content Detection in Video Generative Models
by: Khatri, Alizishaan, et al.
Published: (2026)

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
by: Parekh, Jayneel, et al.
Published: (2024)

VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
by: Kumar, Somnath Sendhil, et al.
Published: (2024)

Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
by: Doumanoglou, Alexandros, et al.
Published: (2023)

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
by: Kotyan, Shashank, et al.
Published: (2024)

Leveraging GANs For Active Appearance Models Optimized Model Fitting
by: Awasthi, Anurag
Published: (2025)

SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
by: Asim, Mohammad, et al.
Published: (2026)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF
by: Park, Jangho, et al.
Published: (2023)

ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
by: Hermary, Romain, et al.
Published: (2026)

Dataset Condensation with Latent Quantile Matching
by: Wei, Wei, et al.
Published: (2024)

A survey on GANs for computer vision: Recent research, analysis and taxonomy
by: Iglesias, Guillermo, et al.
Published: (2022)