Cover Image

U-REPA: Aligning Diffusion U-Nets to ViTs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tian, Yuchuan, Chen, Hanting, Zheng, Mengyu, Liang, Yuchen, Xu, Chao, Wang, Yunhe
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

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
by: Tian, Yuchuan, et al.
Published: (2024)

Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
by: Liu, Jiani, et al.
Published: (2025)

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
by: Zhong, Yunshan, et al.
Published: (2023)

DiC: Rethinking Conv3x3 Designs in Diffusion Models
by: Tian, Yuchuan, et al.
Published: (2024)

Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
by: Shah, Arya, et al.
Published: (2025)

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay
by: Tong, Jin, et al.
Published: (2026)

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
by: Kim, Donghyun, et al.
Published: (2024)

Elastic ViTs from Pretrained Models without Retraining
by: Simoncini, Walter, et al.
Published: (2025)

Pretrained ViTs Yield Versatile Representations For Medical Images
by: Matsoukas, Christos, et al.
Published: (2023)

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
by: Chen, Lu, et al.
Published: (2025)

STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
by: Chattopadhyay, Nandish, et al.
Published: (2026)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs
by: Zheng, Yunling, et al.
Published: (2024)

Learning Quantized Adaptive Conditions for Diffusion Models
by: Liang, Yuchen, et al.
Published: (2024)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
by: Siméoni, Oriane, et al.
Published: (2023)

UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register
by: Qiu, Congpei, et al.
Published: (2026)

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
by: Tian, Yuchuan, et al.
Published: (2024)

CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs
by: Wang, Ao, et al.
Published: (2023)

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
by: Ramachandran, Akshat, et al.
Published: (2024)

EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation
by: Liu, Longfei, et al.
Published: (2026)

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
by: Bafghi, Reza Akbarian, et al.
Published: (2024)

Token Cropr: Faster ViTs for Quite a Few Tasks
by: Bergner, Benjamin, et al.
Published: (2024)

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
by: Wang, Xiyao, et al.
Published: (2026)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)

Surface Defect Detection with Gabor Filter Using Reconstruction-Based Blurring U-Net-ViT
by: Si, Jongwook, et al.
Published: (2025)

Octic Vision Transformers: Quicker ViTs Through Equivariance
by: Nordström, David, et al.
Published: (2025)

Training-Free Acceleration of ViTs with Delayed Spatial Merging
by: Heo, Jung Hwan, et al.
Published: (2023)

Which Direction to Choose? An Analysis on the Representation Power of Self-Supervised ViTs in Downstream Tasks
by: Kaltampanidis, Yannis, et al.
Published: (2025)

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
by: Hwang, Dongyoon, et al.
Published: (2024)

QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding
by: Le, Binh M., et al.
Published: (2025)

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
by: Sharif, Muhammad Hamza, et al.
Published: (2024)

ViTs for Action Classification in Videos: An Approach to Risky Tackle Detection in American Football Practice Videos
by: Zaidi, Syed Ahsan Masud, et al.
Published: (2026)

ConcatPlexer: Additional Dim1 Batching for Faster ViTs
by: Han, Donghoon, et al.
Published: (2023)

Causality $\neq$ Decodability, and Vice Versa: Lessons from Interpreting Counting ViTs
by: Huang, Lianghuan, et al.
Published: (2025)

ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain
by: Mia, Md Sohag, et al.
Published: (2023)

Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey
by: Yunusa, Haruna, et al.
Published: (2024)

TAP-ViTs: Task-Adaptive Pruning for On-Device Deployment of Vision Transformers
by: Wang, Zhibo, et al.
Published: (2026)

Communication Efficient Split Learning of ViTs with Attention-based Double Compression
by: Alvetreti, Federico, et al.
Published: (2025)

Register and [CLS] tokens yield a decoupling of local and global features in large ViTs
by: Lappe, Alexander, et al.
Published: (2025)

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
by: Balasubramanian, Sriram, et al.
Published: (2024)

RepViT: Revisiting Mobile CNN From ViT Perspective
by: Wang, Ao, et al.
Published: (2023)