:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yun, Junno, Alçalar, Yaşar Utku, Akçakaya, Mehmet
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2509.21565
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Tuning for Diffusion Inverse Problem Solvers without Generative Prior Retraining
by: Alçalar, Yaşar Utku, et al.
Published: (2025)

Time-Embedded Algorithm Unrolling for Computational MRI
by: Yun, Junno, et al.
Published: (2025)

PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems
by: Gülle, Merve, et al.
Published: (2025)

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems
by: Alçalar, Yaşar Utku, et al.
Published: (2024)

Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction
by: Alçalar, Yaşar Utku, et al.
Published: (2025)

Fast MRI for All: Bridging Access Gaps by Training without Raw Data
by: Alçalar, Yaşar Utku, et al.
Published: (2024)

Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study
by: Alçalar, Yaşar Utku, et al.
Published: (2025)

Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images
by: Yun, Junno, et al.
Published: (2024)

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
by: Kim, Hyeonjin, et al.
Published: (2026)

Improving Visual Representation Alignment Generation with GRPO
by: Mo, Shentong, et al.
Published: (2026)

i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
by: Zhang, Kevin, et al.
Published: (2022)

LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)

Gramian Multimodal Representation Learning and Alignment
by: Cicchetti, Giordano, et al.
Published: (2024)

Learning Diffusion Models with Flexible Representation Guidance
by: Wang, Chenyu, et al.
Published: (2025)

Stitched Value Model for Diffusion Alignment
by: Go, Hyojun, et al.
Published: (2026)

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
by: Lee, Jaa-Yeon, et al.
Published: (2026)

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
by: Liang, Qiyao, et al.
Published: (2024)

Diffuse and Disperse: Image Generation with Representation Regularization
by: Wang, Runqian, et al.
Published: (2025)

VideoDPO: Omni-Preference Alignment for Video Diffusion Generation
by: Liu, Runtao, et al.
Published: (2024)

Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks
by: Lance, Jake, et al.
Published: (2026)

Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data
by: Kim, Shiwon, et al.
Published: (2026)

Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)

GMAIL: Generative Modality Alignment for generated Image Learning
by: Mo, Shentong, et al.
Published: (2026)

Metadata-Aligned 3D MRI Representations for Contrast Understanding and Quality Control
by: Avci, Mehmet Yigit, et al.
Published: (2025)

Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis
by: Ozbulak, Utku, et al.
Published: (2025)

An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
by: Singh, Vishwa Mohan, et al.
Published: (2025)

Causality in Video Diffusers is Separable from Denoising
by: Bai, Xingjian, et al.
Published: (2026)

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
by: Park, Geon Yeong, et al.
Published: (2024)

GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
by: Song, Zhiye, et al.
Published: (2025)

Learning to Generate Rigid Body Interactions with Video Diffusion Models
by: Romero, David, et al.
Published: (2025)

Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
by: Schweiger, Niklas, et al.
Published: (2026)

Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models
by: Palmini, Maria-Teresa De Rosa, et al.
Published: (2025)

Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation
by: Xu, Jie, et al.
Published: (2025)

Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
by: Zhang, Haichao, et al.
Published: (2023)

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
by: Lin, Zinan, et al.
Published: (2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment
by: Zhang, Dinghuai, et al.
Published: (2024)

Gradient-Free Noise Optimization for Reward Alignment in Generative Models
by: Kim, Jeongsol, et al.
Published: (2026)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning
by: Xue, Rongkun, et al.
Published: (2024)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
by: Lee, Suhyeon, et al.
Published: (2025)

Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
by: Kim, Taehoon, et al.
Published: (2025)