Image de couverture de livre

Boomerang: Local sampling on image manifolds using diffusion models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Luzi, Lorenzo, Mayer, Paul M, Casco-Rodriguez, Josue, Siahkoohi, Ali, Baraniuk, Richard G.
Format:	Preprint
Publié:	2022
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving Fairness and Mitigating MADness in Generative Models
par: Mayer, Paul, et autres
Publié: (2024)

Using Skew to Assess the Quality of GAN-generated Image Features
par: Luzi, Lorenzo, et autres
Publié: (2023)

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
par: Humayun, Ahmed Imtiaz, et autres
Publié: (2023)

Deep Networks Always Grok and Here is Why
par: Humayun, Ahmed Imtiaz, et autres
Publié: (2024)

On the Geometry of Deep Learning
par: Balestriero, Randall, et autres
Publié: (2024)

Double Descent and Other Interpolation Phenomena in GANs
par: Luzi, Lorenzo, et autres
Publié: (2021)

[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
par: Casco-Rodriguez, Josue, et autres
Publié: (2024)

DFU: scale-robust diffusion model for zero-shot super-resolution image generation
par: Havrilla, Alex, et autres
Publié: (2023)

PrecipDiff: Leveraging image diffusion models to enhance satellite-based precipitation observations
par: Dai, Ting-Yu, et autres
Publié: (2025)

Fast constrained sampling in pre-trained diffusion models
par: Graikos, Alexandros, et autres
Publié: (2024)

Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?
par: Kassaw, Kaleb, et autres
Publié: (2024)

Towards SFW sampling for diffusion models via external conditioning
par: Reyes, Camilo Carvajal, et autres
Publié: (2025)

Bayesian computation with generative diffusion models by Multilevel Monte Carlo
par: Haji-Ali, Abdul-Lateef, et autres
Publié: (2024)

HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
par: Choi, Sungik, et autres
Publié: (2024)

Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
par: Akbar, Muhammad Usman, et autres
Publié: (2023)

Rethinking cluster-conditioned diffusion models for label-free image synthesis
par: Adaloglou, Nikolas, et autres
Publié: (2024)

Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay
par: Casco-Rodriguez, Josue, et autres
Publié: (2026)

Denoising diffusion models for high-resolution microscopy image restoration
par: Osuna-Vargas, Pamela, et autres
Publié: (2024)

Guiding a diffusion model using sliding windows
par: Adaloglou, Nikolas, et autres
Publié: (2024)

Enhancing Knee Osteoarthritis severity level classification using diffusion augmented images
par: Chowdary, Paleti Nikhil, et autres
Publié: (2023)

Explore the vulnerability of black-box models via diffusion models
par: Shi, Jiacheng, et autres
Publié: (2025)

Secure and reversible face anonymization with diffusion models
par: Labarbarie, Pol, et autres
Publié: (2025)

Blue noise for diffusion models
par: Huang, Xingchang, et autres
Publié: (2024)

Out-of-distribution detection using normalizing flows on the data manifold
par: Razavi, Seyedeh Fatemeh, et autres
Publié: (2023)

Hyperspectral data augmentation with transformer-based diffusion models
par: Ferrari, Mattia, et autres
Publié: (2025)

Amortizing intractable inference in diffusion models for vision, language, and control
par: Venkatraman, Siddarth, et autres
Publié: (2024)

Rates and architectures for learning geometrically non-trivial operators
par: Roddenberry, T. Mitchell, et autres
Publié: (2025)

Information-geometric adaptive sampling for graph diffusion
par: Lu, Yuhui, et autres
Publié: (2026)

Bridging visual saliency and large language models for explainable deep learning in medical imaging
par: Nguezet, Paul Valery, et autres
Publié: (2026)

Dynamic watermarks in images generated by diffusion models
par: Chen, Yunzhuo, et autres
Publié: (2025)

Learning few-step posterior samplers by unfolding and distillation of diffusion models
par: Mbakam, Charlesquin Kemajou, et autres
Publié: (2025)

Critical windows: non-asymptotic theory for feature emergence in diffusion models
par: Li, Marvin, et autres
Publié: (2024)

Generalization in diffusion models arises from geometry-adaptive harmonic representations
par: Kadkhodaie, Zahra, et autres
Publié: (2023)

Elucidating the solution space of extended reverse-time SDE for diffusion models
par: Cui, Qinpeng, et autres
Publié: (2023)

Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
par: Bartosh, Grigory, et autres
Publié: (2026)

Inverse problems with diffusion models: MAP estimation via mode-seeking loss
par: Gutha, Sai Bharath Chandra, et autres
Publié: (2025)

A Primal-Dual Framework for Transformers and Neural Networks
par: Nguyen, Tan M., et autres
Publié: (2024)

Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture
par: Bartlett, J, et autres
Publié: (2023)

Fast, faithful and photorealistic diffusion-based image super-resolution with enhanced Flow Map models
par: Noble, Maxence, et autres
Publié: (2026)

Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images
par: Afshin, Pouya, et autres
Publié: (2026)