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20242026
most citedReal-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

2 citations · 3 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CV2026

PhoenixSR: Generative Heterogeneous Distillation Unleashes Efficient Models for Real-World Super-Resolution

Xin Di, Mingyu Shi, Yuanfei Bao +7

Real-world image super-resolution (SR) requires recovering perceptually realistic high-resolution images from complex low-resolution observations while preserving faithful content.…

cs.AI2026

Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2

Zhanfeng Feng, Shuai Guo, Xin Di +3

This report describes Tail-Aware HiFloat4, our submission to the low-bit text-to-video generation quantization challenge. Our method adapts the public ViDiT-Q post-training quantiz…

cs.CV2026

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting

Mingyu Shi, Xin Di, Long Peng +8

Continuous Spatio-Temporal Video Super-Resolution (C-STVSR) aims to simultaneously enhance the spatial resolution and frame rate of videos by arbitrary scale factors, offering grea…

cs.CV2026

The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

Jiatong Li, Zheng Chen, Kai Liu +91

This paper provides a review of the NTIRE 2026 challenge on mobile real-world image super-resolution, highlighting the proposed solutions and the resulting outcomes. The challenge…

eess.IV2026

ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image Analysis

Lubin Gan, Jing Zhang, Heng Zhang +4

Whole slide image (WSI) analysis heavily relies on multiple instance learning (MIL). While recent methods benefit from large-scale foundation models and advanced sequence modeling…

cs.CV2025

RobustGS: Unified Boosting of Feedforward 3D Gaussian Splatting under Low-Quality Conditions

Anran Wu, Long Peng, Xin Di +6

Feedforward 3D Gaussian Splatting (3DGS) overcomes the limitations of optimization-based 3DGS by enabling fast and high-quality reconstruction without the need for per-scene optimi…

cs.CV2025

PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement

ZhanFeng Feng, Long Peng, Xin Di +7

Multi-frame video enhancement tasks aim to improve the spatial and temporal resolution and quality of video sequences by leveraging temporal information from multiple frames, which…

cs.CV2025

Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling

Long Peng, Anran Wu, Wenbo Li +9

Arbitrary-scale super-resolution (ASSR) aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs with arbitrary upsampling factors using a single model, addr…

cs.CV2025

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration

Long Peng, Xin Di, Zhanfeng Feng +6

Image restoration aims to recover details and enhance contrast in degraded images. With the growing demand for high-quality imaging (\textit{e.g.}, 4K and 8K), achieving a balance…

eess.IV2024

Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution

Long Peng, Wenbo Li, Jiaming Guo +7

Real-world image super-resolution (Real SR) aims to generate high-fidelity, detail-rich high-resolution (HR) images from low-resolution (LR) counterparts. Existing Real SR methods…

cs.CV2024

Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Peizhe Xia, Long Peng, Xin Di +4

Arbitrary scale super-resolution (ASSR) aims to super-resolve low-resolution images to high-resolution images at any scale using a single model, addressing the limitations of tradi…

cs.CV2024

QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Xin Di, Long Peng, Peizhe Xia +5

Burst super-resolution aims to reconstruct high-resolution images with higher quality and richer details by fusing the sub-pixel information from multiple burst low-resolution fram…

cs.CV2024★ 2 cited

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

Marcos V. Conde, Zhijun Lei, Wen Li +72

This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…