Cover Image

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Selikhanovych, Daniil, Li, David, Leonov, Aleksei, Gushchin, Nikita, Kushneriuk, Sergei, Filippov, Alexander, Burnaev, Evgeny, Koshelev, Iaroslav, Korotin, Alexander
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)
by: Kornilov, Nikita, et al.
Published: (2025)

Adversarial Schrödinger Bridge Matching
by: Gushchin, Nikita, et al.
Published: (2024)

Inverse Bridge Matching Distillation
by: Gushchin, Nikita, et al.
Published: (2025)

Light and Optimal Schrödinger Bridge Matching
by: Gushchin, Nikita, et al.
Published: (2024)

Light Schrödinger Bridge
by: Korotin, Alexander, et al.
Published: (2023)

Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
by: Carrasco, Xavier Aramayo, et al.
Published: (2025)

InfoBridge: Mutual Information estimation via Bridge Matching
by: Kholkin, Sergei, et al.
Published: (2025)

An Optimal Transport Perspective on Unpaired Image Super-Resolution
by: Gazdieva, Milena, et al.
Published: (2022)

Energy-guided Entropic Neural Optimal Transport
by: Mokrov, Petr, et al.
Published: (2023)

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
by: Kholkin, Sergei, et al.
Published: (2024)

Variational Entropic Optimal Transport
by: Dyachenko, Roman, et al.
Published: (2026)

Barcodes as Summary of Loss Function Topology
by: Barannikov, Serguei, et al.
Published: (2019)

Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss
by: Korotin, Alexander, et al.
Published: (2025)

Mixability of Integral Losses: a Key to Efficient Online Aggregation of Functional and Probabilistic Forecasts
by: Korotin, Alexander, et al.
Published: (2019)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step
by: Kornilov, Nikita, et al.
Published: (2024)

Midpoint Generative Models
by: Shlenskii, Daniil, et al.
Published: (2026)

Light Unbalanced Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2023)

A3D: Does Diffusion Dream about 3D Alignment?
by: Ignatyev, Savva, et al.
Published: (2024)

A Modular Conditional Diffusion Framework for Image Reconstruction
by: Zhussip, Magauiya, et al.
Published: (2024)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
by: Persiianov, Mikhail, et al.
Published: (2024)

Overclocking Electrostatic Generative Models
by: Shlenskii, Daniil, et al.
Published: (2025)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
by: Tarasov, Roman, et al.
Published: (2025)

Neural Optimal Transport with General Cost Functionals
by: Asadulaev, Arip, et al.
Published: (2022)

Risk-Averse Reinforcement Learning with Itakura-Saito Loss
by: Udovichenko, Igor, et al.
Published: (2025)

One Step Diffusion-based Super-Resolution with Time-Aware Distillation
by: He, Xiao, et al.
Published: (2024)

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
by: Li, Jianze, et al.
Published: (2025)

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
by: Persiianov, Mikhail, et al.
Published: (2025)

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation
by: Wu, Xue, et al.
Published: (2025)

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
by: Meshchaninov, Viacheslav, et al.
Published: (2026)

Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation
by: Leonov, Aleksei, et al.
Published: (2024)

Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
by: Carrasco, Xavier Aramayo, et al.
Published: (2023)

On the Equivalence of Optimal Transport Problem and Action Matching with Optimal Vector Fields
by: Kornilov, Nikita, et al.
Published: (2025)

Time-Correlated Video Bridge Matching
by: Vasilev, Viacheslav, et al.
Published: (2025)

TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution
by: Dong, Linwei, et al.
Published: (2024)

VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
by: Zhu, Yixuan, et al.
Published: (2026)

IDLM: Inverse-distilled Diffusion Language Models
by: Li, David, et al.
Published: (2026)

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation
by: Noroozi, Mehdi, et al.
Published: (2024)

Rethinking Optimal Transport in Offline Reinforcement Learning
by: Asadulaev, Arip, et al.
Published: (2024)

Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
by: Zhang, Aiping, et al.
Published: (2024)

Estimating Barycenters of Distributions with Neural Optimal Transport
by: Kolesov, Alexander, et al.
Published: (2024)