The Evolving Nature of Latent Spaces: From GANs to Diffusion
Fuente:
arXiv
Saved in:
| Main Author: | Schaerf, Ludovica |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reflections on Disentanglement and the Latent Space
by: Schaerf, Ludovica
Published: (2024)
by: Schaerf, Ludovica
Published: (2024)
DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025)
by: Odendaal, Kirsten, et al.
Published: (2025)
Ethology of Latent Spaces
by: Boisnard, Philippe
Published: (2026)
by: Boisnard, Philippe
Published: (2026)
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025)
by: Huang, Lin-Chun, et al.
Published: (2025)
ColorwAI: Generative Colorways of Textiles through GAN and Diffusion Disentanglement
by: Schaerf, Ludovica, et al.
Published: (2024)
by: Schaerf, Ludovica, et al.
Published: (2024)
Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
by: Vali, Mohammad Hassan, et al.
Published: (2024)
by: Vali, Mohammad Hassan, et al.
Published: (2024)
Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion
by: Schaerf, Ludovica, et al.
Published: (2025)
by: Schaerf, Ludovica, et al.
Published: (2025)
Latent Diffusion Inversion Requires Understanding the Latent Space
by: Rao, Mingxing, et al.
Published: (2025)
by: Rao, Mingxing, et al.
Published: (2025)
The Illusion of Forgetting: Attack Unlearned Diffusion via Initial Latent Variable Optimization
by: Li, Manyi, et al.
Published: (2026)
by: Li, Manyi, et al.
Published: (2026)
Distilling Diffusion Models into Conditional GANs
by: Kang, Minguk, et al.
Published: (2024)
by: Kang, Minguk, et al.
Published: (2024)
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
by: Thomas, Xavier, et al.
Published: (2025)
by: Thomas, Xavier, et al.
Published: (2025)
Art Forgery Detection using Kolmogorov Arnold and Convolutional Neural Networks
by: Boccuzzo, Sandro, et al.
Published: (2024)
by: Boccuzzo, Sandro, et al.
Published: (2024)
Learning Latent Space Hierarchical EBM Diffusion Models
by: Cui, Jiali, et al.
Published: (2024)
by: Cui, Jiali, et al.
Published: (2024)
AI-EDI-SPACE: A Co-designed Dataset for Evaluating the Quality of Public Spaces
by: Gowaikar, Shreeyash, et al.
Published: (2024)
by: Gowaikar, Shreeyash, et al.
Published: (2024)
Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
by: Iyengar, Aniketh, et al.
Published: (2025)
by: Iyengar, Aniketh, et al.
Published: (2025)
Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer Techniques
by: Tang, W., et al.
Published: (2024)
by: Tang, W., et al.
Published: (2024)
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
by: DeAndres-Tame, Ivan, et al.
Published: (2024)
by: DeAndres-Tame, Ivan, et al.
Published: (2024)
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
by: Haas, René, et al.
Published: (2023)
by: Haas, René, et al.
Published: (2023)
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
by: Hahm, Jaehoon, et al.
Published: (2024)
by: Hahm, Jaehoon, et al.
Published: (2024)
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)
by: Zhang, Xiang
Published: (2024)
Tabular GANs for uneven distribution
by: Ashrapov, Insaf
Published: (2020)
by: Ashrapov, Insaf
Published: (2020)
Intriguing Properties of Modern GANs
by: Friedman, Roy, et al.
Published: (2024)
by: Friedman, Roy, et al.
Published: (2024)
Describing Differences in Image Sets with Natural Language
by: Dunlap, Lisa, et al.
Published: (2023)
by: Dunlap, Lisa, et al.
Published: (2023)
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)
by: Sun, Mengyu, et al.
Published: (2026)
Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation
by: Baade, Alan, et al.
Published: (2026)
by: Baade, Alan, et al.
Published: (2026)
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)
by: Moon, Saemi, et al.
Published: (2023)
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)
by: Xia, Mengfei, et al.
Published: (2023)
Max-Sliced Wasserstein Distance and its use for GANs
by: Deshpande, Ishan, et al.
Published: (2019)
by: Deshpande, Ishan, et al.
Published: (2019)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
by: Lin, Kuan-Yu, et al.
Published: (2026)
by: Lin, Kuan-Yu, et al.
Published: (2026)
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
by: Fu, Funing, et al.
Published: (2026)
by: Fu, Funing, et al.
Published: (2026)
Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
by: Filippone, Maurizio, et al.
Published: (2025)
by: Filippone, Maurizio, et al.
Published: (2025)
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)
by: Hu, Jiacheng, et al.
Published: (2024)
PaDPaF: Partial Disentanglement with Partially-Federated GANs
by: Almansoori, Abdulla Jasem, et al.
Published: (2022)
by: Almansoori, Abdulla Jasem, et al.
Published: (2022)
Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)
by: Shen, Xudong, et al.
Published: (2023)
Aligning Latent Spaces with Flow Priors
by: Li, Yizhuo, et al.
Published: (2025)
by: Li, Yizhuo, et al.
Published: (2025)
Scalable GANs with Transformers
by: Hyun, Sangeek, et al.
Published: (2025)
by: Hyun, Sangeek, et al.
Published: (2025)
Fair Text-to-Image Diffusion via Fair Mapping
by: Li, Jia, et al.
Published: (2023)
by: Li, Jia, et al.
Published: (2023)
Pixel-Space Post-Training of Latent Diffusion Models
by: Zhang, Christina, et al.
Published: (2024)
by: Zhang, Christina, et al.
Published: (2024)
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
by: Wan, Chang, et al.
Published: (2025)
by: Wan, Chang, et al.
Published: (2025)
Similar Items
-
Reflections on Disentanglement and the Latent Space
by: Schaerf, Ludovica
Published: (2024) -
DragGANSpace: Latent Space Exploration and Control for GANs
by: Odendaal, Kirsten, et al.
Published: (2025) -
Ethology of Latent Spaces
by: Boisnard, Philippe
Published: (2026) -
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
by: Huang, Lin-Chun, et al.
Published: (2025) -
ColorwAI: Generative Colorways of Textiles through GAN and Diffusion Disentanglement
by: Schaerf, Ludovica, et al.
Published: (2024)