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20242026
most citedEvent-Based Eye Tracking. 2025 Event-based Vision Workshop

1 citations · 1 across the 8 of their papers we have counts for

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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.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★ 1 cited

Event-Based Eye Tracking. 2025 Event-based Vision Workshop

Qinyu Chen, Chang Gao, Min Liu +29

This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop. This challenge focuses on the task of…

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…

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

FC3DNet: A Fully Connected Encoder-Decoder for Efficient Demoir'eing

Zhibo Du, Long Peng, Yang Wang +2

Moiré patterns are commonly seen when taking photos of screens. Camera devices usually have limited hardware performance but take high-resolution photos. However, users are sensiti…