Cover Image

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aliev, Ali, Garifullin, Kamil, Yudin, Nikolay, Soboleva, Vera, Molozhavenko, Alexander, Oseledets, Ivan, Alanov, Aibek, Rakhuba, Maxim
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Group and Shuffle: Efficient Structured Orthogonal Parametrization
by: Gorbunov, Mikhail, et al.
Published: (2024)

LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters
by: Bogachev, Vladimir, et al.
Published: (2025)

MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models
by: Garifullin, Kamil, et al.
Published: (2025)

Optimization on the Extended Tensor-Train Manifold with Shared Factors
by: Molozhavenko, Alexander, et al.
Published: (2025)

Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation
by: Soboleva, Vera, et al.
Published: (2025)

T-LoRA: Single Image Diffusion Model Customization Without Overfitting
by: Soboleva, Vera, et al.
Published: (2025)

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback
by: Konovalova, Nina, et al.
Published: (2025)

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
by: Yudin, Nikolay, et al.
Published: (2025)

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing
by: Bobkov, Denis, et al.
Published: (2024)

DyKAF: Dynamical Kronecker Approximation of the Fisher Information Matrix for Gradient Preconditioning
by: Yudin, Nikolay, et al.
Published: (2025)

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
by: Nikolaev, Maxim, et al.
Published: (2024)

Dimension-free Structured Covariance Estimation
by: Puchkin, Nikita, et al.
Published: (2024)

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models
by: Beletskii, Ilia, et al.
Published: (2025)

SHIFT: Steering Hidden Intermediates in Flow Transformers
by: Konovalova, Nina, et al.
Published: (2026)

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations
by: Grishina, Ekaterina, et al.
Published: (2025)

Accelerating Newton-Schulz Iteration for Orthogonalization via Chebyshev-type Polynomials
by: Grishina, Ekaterina, et al.
Published: (2025)

Dimension-free Bounds for Covariance Estimation with Tensor-Train Structure
by: Patarusau, Artsiom, et al.
Published: (2025)

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models
by: Sorokin, Dmitrii, et al.
Published: (2025)

FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention
by: Karpukhin, Sergey, et al.
Published: (2025)

CLEAR: Character Unlearning in Textual and Visual Modalities
by: Dontsov, Alexey, et al.
Published: (2024)

OrthoEraser: Coupled-Neuron Orthogonal Projection for Concept Erasure
by: Shi, Chuancheng, et al.
Published: (2026)

COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation
by: Parkina, Uliana, et al.
Published: (2025)

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
by: Titov, Vadim, et al.
Published: (2024)

DreamBoothDPO: Improving Personalized Generation using Direct Preference Optimization
by: Ayupov, Shamil, et al.
Published: (2025)

Mitigating Position-Shift Failures in Text-Based Modular Arithmetic via Position Curriculum and Template Diversity
by: Yudin, Nikolay
Published: (2026)

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
by: Oganov, Aleksandr, et al.
Published: (2025)

Screener: Self-supervised Pathology Segmentation in Medical CT Images
by: Goncharov, Mikhail, et al.
Published: (2025)

Fast gradient-free activation maximization for neurons in spiking neural networks
by: Pospelov, Nikita, et al.
Published: (2023)

Knowledge Graph Completion with Mixed Geometry Tensor Factorization
by: Yusupov, Viacheslav, et al.
Published: (2025)

Ultra Fast Warm Start Solution for Graph Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)

Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)

Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
by: Grishina, Ekaterina, et al.
Published: (2024)

Inverted Activations: Reducing Memory Footprint in Neural Network Training
by: Novikov, Georgii, et al.
Published: (2024)

Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models
by: Chertkov, Andrei, et al.
Published: (2023)

Hyperbolic equations with fifth-order symmetries
by: Garifullin, Rustem N.
Published: (2025)

Guided Star-Shaped Masked Diffusion
by: Meshchaninov, Viacheslav, et al.
Published: (2025)

Low-rank matrix and tensor approximations for compression of machine-learning interatomic potentials
by: Vorotnikov, Igor, et al.
Published: (2025)

Ortho-Hydra: Orthogonalized Experts for DiT LoRA
by: Ji, Seunghyun
Published: (2026)

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
by: Tsyganov, Askar, et al.
Published: (2025)

On the Upper Bounds for the Matrix Spectral Norm
by: Naumov, Alexey, et al.
Published: (2025)