Copertina

FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yin, Bo, Hu, Xiaobin, Zhou, Xingyu, Jiang, Peng-Tao, Liao, Yue, Zhu, Junwei, Zhang, Jiangning, Tai, Ying, Wang, Chengjie, Yan, Shuicheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DiP: Taming Diffusion Models in Pixel Space
di: Chen, Zhennan, et al.
Pubblicazione: (2025)

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
di: Hu, Teng, et al.
Pubblicazione: (2024)

Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
di: Han, Yue, et al.
Pubblicazione: (2024)

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
di: Tang, Haozhan, et al.
Pubblicazione: (2026)

TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement
di: Sun, Haiyue, et al.
Pubblicazione: (2025)

RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation
di: Jiang, Juntao, et al.
Pubblicazione: (2025)

TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
di: Chen, Yu, et al.
Pubblicazione: (2025)

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
di: Liao, Xiaoxuan, et al.
Pubblicazione: (2025)

A Generalist FaceX via Learning Unified Facial Representation
di: Han, Yue, et al.
Pubblicazione: (2023)

VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
di: Xiaobin, Hu, et al.
Pubblicazione: (2025)

DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism
di: Li, Dengchun, et al.
Pubblicazione: (2025)

MARFT: Multi-Agent Reinforcement Fine-Tuning
di: Liao, Junwei, et al.
Pubblicazione: (2025)

IVEBench: Modern Benchmark Suite for Instruction-Guided Video Editing Assessment
di: Chen, Yinan, et al.
Pubblicazione: (2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation
di: Liu, Jun, et al.
Pubblicazione: (2025)

FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
di: Park, Juneyoung, et al.
Pubblicazione: (2026)

ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model
di: Xu, Chengming, et al.
Pubblicazione: (2024)

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
di: Wang, Shuaidi, et al.
Pubblicazione: (2026)

Slow-Fast Inference: Training-Free Inference Acceleration via Within-Sentence Support Stability
di: Xie, Xingyu, et al.
Pubblicazione: (2026)

Image Inversion: A Survey from GANs to Diffusion and Beyond
di: Chen, Yinan, et al.
Pubblicazione: (2025)

Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning
di: Shen, Ruolin, et al.
Pubblicazione: (2025)

$α$-LoRA: Effective Fine-Tuning via Base Model Rescaling
di: Firdoussi, Aymane El, et al.
Pubblicazione: (2025)

MoE-Sieve: Routing-Guided LoRA for Efficient MoE Fine-Tuning
di: Manzoni, Andrea
Pubblicazione: (2026)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
di: Hu, Jerry Yao-Chieh, et al.
Pubblicazione: (2024)

DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
di: Zhang, Haojie
Pubblicazione: (2025)

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
di: Jung, Yeonjoon, et al.
Pubblicazione: (2025)

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
di: Lin, Cheng, et al.
Pubblicazione: (2024)

RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network
di: Ji, Xiaozhong, et al.
Pubblicazione: (2024)

L2P: Unlocking Latent Potential for Pixel Generation
di: Chen, Zhennan, et al.
Pubblicazione: (2026)

DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models
di: Deng, Guanzhi, et al.
Pubblicazione: (2026)

VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
di: Liao, Guofu, et al.
Pubblicazione: (2025)

Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
di: Yao, Dixi
Pubblicazione: (2024)

Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation
di: Ma, Yao, et al.
Pubblicazione: (2024)

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
di: Zhang, Chengqian, et al.
Pubblicazione: (2026)

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
di: Chang, Huandong, et al.
Pubblicazione: (2025)

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs
di: Ye, Rongguang, et al.
Pubblicazione: (2025)

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
di: Wang, Ziyao, et al.
Pubblicazione: (2024)

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
di: Zhang, Yilang, et al.
Pubblicazione: (2025)

Boosting Reasoning in Large Multimodal Models via Activation Replay
di: Xing, Yun, et al.
Pubblicazione: (2025)

Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption Size
di: Sultan, Youssef, et al.
Pubblicazione: (2024)

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
di: Feng, Zhi-Quan, et al.
Pubblicazione: (2026)