Cover Image

InstanceRSR: Real-World Super-Resolution via Instance-Aware Representation Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Zixin, Zhao, Kai, Zhang, Luyan
Format:	Preprint
Published:	2026
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

Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
by: Tang, Qi, et al.
Published: (2023)

Instance Data Condensation for Image Super-Resolution
by: Peng, Tianhao, et al.
Published: (2025)

OARS: Process-Aware Online Alignment for Generative Real-World Image Super-Resolution
by: Zhao, Shijie, et al.
Published: (2026)

InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention
by: Xiang, Qiang, et al.
Published: (2025)

MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
by: Zhang, Wenyuan, et al.
Published: (2025)

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
by: Yu, Zhiyuan, et al.
Published: (2024)

Representation Learning with Semantic-aware Instance and Sparse Token Alignments
by: Bui, Phuoc-Nguyen, et al.
Published: (2026)

InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation
by: Yang, Zhuoran, et al.
Published: (2026)

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders
by: Hu, Qiming, et al.
Published: (2025)

InstanceBEV: Unifying Instance and BEV Representation for 3D Panoptic Segmentation
by: Li, Feng, et al.
Published: (2025)

Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
by: Amoyal, Roy, et al.
Published: (2026)

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2023)

DiffST: Spatiotemporal-Aware Diffusion for Real-World Space-Time Video Super-Resolution
by: Chen, Zheng, et al.
Published: (2026)

DACESR: Degradation-Aware Conditional Embedding for Real-World Image Super-Resolution
by: Lei, Xiaoyan, et al.
Published: (2026)

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

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception
by: Li, Haijie, et al.
Published: (2024)

Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
by: Zhao, Rui, et al.
Published: (2026)

DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
by: Bi, Chunyang, et al.
Published: (2024)

v-CLR: View-Consistent Learning for Open-World Instance Segmentation
by: Zhang, Chang-Bin, et al.
Published: (2025)

Noise-Started One-Step Real-World Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
by: Zhu, Wei, et al.
Published: (2026)

Instance-Aware Robust Consistency Regularization for Semi-Supervised Nuclei Instance Segmentation
by: Lin, Zenan, et al.
Published: (2025)

CasSR: Activating Image Power for Real-World Image Super-Resolution
by: Chen, Haolan, et al.
Published: (2024)

Improved Adversarial Diffusion Compression for Real-World Video Super-Resolution
by: Chen, Bin, et al.
Published: (2026)

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests
by: Deoli, Pankaj, et al.
Published: (2026)

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
by: Zhang, Yuehan, et al.
Published: (2024)

Instance-level Visual Active Tracking with Occlusion-Aware Planning
by: Sun, Haowei, et al.
Published: (2026)

Degradation-Aware and Structure-Preserving Diffusion for Real-World Image Super-Resolution
by: Ji, Yang, et al.
Published: (2026)

Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes
by: Elezabi, Omar, et al.
Published: (2024)

Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
by: Chen, Zhiyang, et al.
Published: (2025)

RealViformer: Investigating Attention for Real-World Video Super-Resolution
by: Zhang, Yuehan, et al.
Published: (2024)

Instance-Level Generation for Representation Learning
by: Wu, Yankun, et al.
Published: (2025)

InstanceV: Instance-Level Video Generation
by: Chen, Yuheng, et al.
Published: (2025)

Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution
by: Deng, Chengyan, et al.
Published: (2026)

Solving Instance Detection from an Open-World Perspective
by: Shen, Qianqian, et al.
Published: (2025)

IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting
by: Fu, Hao, et al.
Published: (2025)

Few-Step Diffusion Sampling Through Instance-Aware Discretizations
by: Yuan, Liangyu, et al.
Published: (2026)

STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
by: Xie, Rui, et al.
Published: (2025)

OW-Rep: Open World Object Detection with Instance Representation Learning
by: Lee, Sunoh, et al.
Published: (2024)

MFSR: MeanFlow Distillation for One Step Real-World Image Super Resolution
by: Wang, Ruiqing, et al.
Published: (2026)

Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
by: Li, Zhongyao, et al.
Published: (2025)