SkipSR: Faster Super Resolution with Token Skipping
Fuente:
arXiv
Guardado en:
| Autores principales: | Choudhury, Rohan, Lin, Shanchuan, Wang, Jianyi, Chen, Hao, Zhao, Qi, Cheng, Feng, Jiang, Lu, Kitani, Kris, Jeni, Laszlo A. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
por: Choudhury, Rohan, et al.
Publicado: (2024)
por: Choudhury, Rohan, et al.
Publicado: (2024)
Accelerating Vision Transformers with Adaptive Patch Sizes
por: Choudhury, Rohan, et al.
Publicado: (2025)
por: Choudhury, Rohan, et al.
Publicado: (2025)
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
por: Zeng, Weili, et al.
Publicado: (2025)
por: Zeng, Weili, et al.
Publicado: (2025)
Skip and Skip: Segmenting Medical Images with Prompts
por: Chen, Jiawei, et al.
Publicado: (2024)
por: Chen, Jiawei, et al.
Publicado: (2024)
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
por: Ataiefard, Foozhan, et al.
Publicado: (2024)
por: Ataiefard, Foozhan, et al.
Publicado: (2024)
SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training
por: Li, Jingxing, et al.
Publicado: (2026)
por: Li, Jingxing, et al.
Publicado: (2026)
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping
por: Li, Jiajun, et al.
Publicado: (2025)
por: Li, Jiajun, et al.
Publicado: (2025)
GM-Skip: Metric-Guided Transformer Block Skipping for Efficient Vision-Language Models
por: Huang, Lianming, et al.
Publicado: (2025)
por: Huang, Lianming, et al.
Publicado: (2025)
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
por: Lu, Zhengyang, et al.
Publicado: (2025)
por: Lu, Zhengyang, et al.
Publicado: (2025)
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
por: Gong, Yan, et al.
Publicado: (2023)
por: Gong, Yan, et al.
Publicado: (2023)
Always Skip Attention
por: Ji, Yiping, et al.
Publicado: (2025)
por: Ji, Yiping, et al.
Publicado: (2025)
On the Vulnerability of Skip Connections to Model Inversion Attacks
por: Koh, Jun Hao, et al.
Publicado: (2024)
por: Koh, Jun Hao, et al.
Publicado: (2024)
SSI-DM: Singularity Skipping Inversion of Diffusion Models
por: Min, Chen, et al.
Publicado: (2026)
por: Min, Chen, et al.
Publicado: (2026)
Skipping Computations in Multimodal LLMs
por: Shukor, Mustafa, et al.
Publicado: (2024)
por: Shukor, Mustafa, et al.
Publicado: (2024)
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
por: Hartman, Max, et al.
Publicado: (2025)
por: Hartman, Max, et al.
Publicado: (2025)
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution
por: Wan, Yuhao, et al.
Publicado: (2024)
por: Wan, Yuhao, et al.
Publicado: (2024)
FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution
por: Li, Wenjie, et al.
Publicado: (2025)
por: Li, Wenjie, et al.
Publicado: (2025)
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
por: Sun, Chengkun, et al.
Publicado: (2024)
por: Sun, Chengkun, et al.
Publicado: (2024)
Is Your Text-to-Image Model Robust to Caption Noise?
por: Yu, Weichen, et al.
Publicado: (2024)
por: Yu, Weichen, et al.
Publicado: (2024)
BadSR: Stealthy Label Backdoor Attacks on Image Super-Resolution
por: Guo, Ji, et al.
Publicado: (2025)
por: Guo, Ji, et al.
Publicado: (2025)
CasSR: Activating Image Power for Real-World Image Super-Resolution
por: Chen, Haolan, et al.
Publicado: (2024)
por: Chen, Haolan, et al.
Publicado: (2024)
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
por: Chen, Guanjie, et al.
Publicado: (2024)
por: Chen, Guanjie, et al.
Publicado: (2024)
TinySR: Pruning Diffusion for Real-World Image Super-Resolution
por: Dong, Linwei, et al.
Publicado: (2025)
por: Dong, Linwei, et al.
Publicado: (2025)
Raw Instinct: Trust Your Classifiers and Skip the Conversion
por: Kantas, Christos, et al.
Publicado: (2024)
por: Kantas, Christos, et al.
Publicado: (2024)
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
por: Hyung, Junha, et al.
Publicado: (2024)
por: Hyung, Junha, et al.
Publicado: (2024)
EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution
por: Zhao, Hanli, et al.
Publicado: (2026)
por: Zhao, Hanli, et al.
Publicado: (2026)
PocketSR: The Super-Resolution Expert in Your Pocket Mobiles
por: Sun, Haoze, et al.
Publicado: (2025)
por: Sun, Haoze, et al.
Publicado: (2025)
ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
por: Cheng, Chun-Wun, et al.
Publicado: (2026)
Multi-Object Tracking by Hierarchical Visual Representations
por: Cao, Jinkun, et al.
Publicado: (2024)
por: Cao, Jinkun, et al.
Publicado: (2024)
SkiP: When to Skip and When to Refine for Efficient Robot Manipulation
por: Dai, Mingtong, et al.
Publicado: (2026)
por: Dai, Mingtong, et al.
Publicado: (2026)
LocalSR: Image Super-Resolution in Local Region
por: Ji, Bo, et al.
Publicado: (2024)
por: Ji, Bo, et al.
Publicado: (2024)
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
por: He, Yong, et al.
Publicado: (2024)
por: He, Yong, et al.
Publicado: (2024)
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors
por: Wang, Jiangang, et al.
Publicado: (2024)
por: Wang, Jiangang, et al.
Publicado: (2024)
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
por: Wang, Chengcheng, et al.
Publicado: (2024)
por: Wang, Chengcheng, et al.
Publicado: (2024)
LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
por: Li, Xiaohui, et al.
Publicado: (2025)
por: Li, Xiaohui, et al.
Publicado: (2025)
Pretrained Diffusion Models Are Inherently Skipped-Step Samplers
por: Xu, Wenju
Publicado: (2025)
por: Xu, Wenju
Publicado: (2025)
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
por: Zhan, Wengyi, et al.
Publicado: (2024)
por: Zhan, Wengyi, et al.
Publicado: (2024)
CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution
por: Hu, Bingwen, et al.
Publicado: (2024)
por: Hu, Bingwen, et al.
Publicado: (2024)
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance
por: Ye, Keren, et al.
Publicado: (2025)
por: Ye, Keren, et al.
Publicado: (2025)
PromptSR: Cascade Prompting for Lightweight Image Super-Resolution
por: Liu, Wenyang, et al.
Publicado: (2025)
por: Liu, Wenyang, et al.
Publicado: (2025)
Ejemplares similares
-
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
por: Choudhury, Rohan, et al.
Publicado: (2024) -
Accelerating Vision Transformers with Adaptive Patch Sizes
por: Choudhury, Rohan, et al.
Publicado: (2025) -
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
por: Zeng, Weili, et al.
Publicado: (2025) -
Skip and Skip: Segmenting Medical Images with Prompts
por: Chen, Jiawei, et al.
Publicado: (2024) -
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
por: Ataiefard, Foozhan, et al.
Publicado: (2024)