Cover Image

LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Varshney, Payal, Lucieri, Adriano, Balada, Christoph, Ahmed, Sheraz, Dengel, Andreas
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)

Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
by: Varshney, Payal, et al.
Published: (2024)

Privacy Meets Explainability: A Comprehensive Impact Benchmark
by: Saifullah, Saifullah, et al.
Published: (2022)

DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification
by: Saifullah, Saifullah, et al.
Published: (2025)

The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound
by: Balada, Christoph, et al.
Published: (2026)

Towards Facilitated Fairness Assessment of AI-based Skin Lesion Classifiers Through GenAI-based Image Synthesis
by: Watanabe, Ko, et al.
Published: (2025)

Latent Diffusion for Guided Document Table Generation
by: Hamdani, Syed Jawwad Haider, et al.
Published: (2024)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
by: Atad, Matan, et al.
Published: (2024)

DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
by: Saifullah, Saifullah, et al.
Published: (2024)

TACE: Tumor-Aware Counterfactual Explanations
by: Rossi, Eleonora Beatrice, et al.
Published: (2024)

LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights
by: Castells, Thibault, et al.
Published: (2024)

Unlocking Dataset Distillation with Diffusion Models
by: Moser, Brian B., et al.
Published: (2024)

From Visual Explanations to Counterfactual Explanations with Latent Diffusion
by: Luu, Tung, et al.
Published: (2025)

Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
by: Pal, Shivam, et al.
Published: (2025)

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
by: Maduabuchi, Chika, et al.
Published: (2025)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
by: Mena, Francisco, et al.
Published: (2024)

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
by: Yu, Sihyun, et al.
Published: (2024)

Modular Graph Extraction for Handwritten Circuit Diagram Images
by: Bayer, Johannes, et al.
Published: (2024)

Diffusion Counterfactuals for Image Regressors
by: Ha, Trung Duc, et al.
Published: (2025)

In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
by: Mena, Francisco, et al.
Published: (2024)

TRecViT: A Recurrent Video Transformer
by: Pătrăucean, Viorica, et al.
Published: (2024)

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
by: Najjar, Hiba, et al.
Published: (2024)

Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
by: Goldwasser, Jeremy, et al.
Published: (2025)

Dynamic Attention-Guided Diffusion for Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2023)

WordVIS: A Color Worth A Thousand Words
by: Khan, Umar, et al.
Published: (2024)

On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
by: Mena, Francisco, et al.
Published: (2025)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
by: Yu, Sihyun, et al.
Published: (2025)

Diffusion Models, Image Super-Resolution And Everything: A Survey
by: Moser, Brian B., et al.
Published: (2024)

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
by: Augustin, Maximilian, et al.
Published: (2023)

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
by: Chen, Zerui, et al.
Published: (2024)

ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
by: Yang, Serin, et al.
Published: (2024)

Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
by: Mena, Francisco, et al.
Published: (2025)

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
by: Miranda, Miro, et al.
Published: (2025)

Canonical Latent Representations in Conditional Diffusion Models
by: Xu, Yitao, et al.
Published: (2025)

ViGText: Deepfake Image Detection with Vision-Language Model Explanations and Graph Neural Networks
by: ALBarqawi, Ahmad, et al.
Published: (2025)

LongViTU: Instruction Tuning for Long-Form Video Understanding
by: Wu, Rujie, et al.
Published: (2025)

Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
by: Moser, Brian B., et al.
Published: (2024)

Learning Latent Space Hierarchical EBM Diffusion Models
by: Cui, Jiali, et al.
Published: (2024)

Gradient-free Decoder Inversion in Latent Diffusion Models
by: Hong, Seongmin, et al.
Published: (2024)