1.3k citations · 1.3k across the 12 of their papers we have counts for
13 papers
Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering
Hanxin Zhu, Jianqi Ma, Cong Wang +10
Recent advances in video diffusion enable novel-view video synthesis from a single input video, supporting world modeling, embodied intelligence, and robotic simulation. However, e…
Toward Accurate and Temporally Consistent Video Restoration from Raw Data
Shi Guo, Jianqi Ma, Xi Yang +2
Denoising and demosaicking are two fundamental steps in reconstructing a clean full-color video from raw data, while performing video denoising and demosaicking jointly, namely VJD…
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
Xi Yang, Chenhang He, Jianqi Ma +1
Real-world low-resolution (LR) videos have diverse and complex degradations, imposing great challenges on video super-resolution (VSR) algorithms to reproduce their high-resolution…
A Benchmark for Chinese-English Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Wangmeng Xiang +2
Scene Text Image Super-resolution (STISR) aims to recover high-resolution (HR) scene text images with visually pleasant and readable text content from the given low-resolution (LR)…
Spatial-Frequency Attention for Image Denoising
Shi Guo, Hongwei Yong, Xindong Zhang +2
The recently developed transformer networks have achieved impressive performance in image denoising by exploiting the self-attention (SA) in images. However, the existing methods m…
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution
Jianqi Ma, Zhetong Liang, Lei Zhang
Scene text image super-resolution aims to increase the resolution and readability of the text in low-resolution images. Though significant improvement has been achieved by deep con…
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift
Shi Guo, Xi Yang, Jianqi Ma +2
Denoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data. Recently, joint denoising and demosaicking (JDD) for burst images, nam…
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
Jingye Chen, Haiyang Yu, Jianqi Ma +2
In the last decade, the blossom of deep learning has witnessed the rapid development of scene text recognition. However, the recognition of low-resolution scene text images remains…
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study
Haiyang Yu, Jingye Chen, Bin Li +6
The flourishing blossom of deep learning has witnessed the rapid development of text recognition in recent years. However, the existing text recognition methods are mainly proposed…
Text Prior Guided Scene Text Image Super-resolution
Jianqi Ma, Shi Guo, Lei Zhang
Scene text image super-resolution (STISR) aims to improve the resolution and visual quality of low-resolution (LR) scene text images, and consequently boost the performance of text…
RRPN++: Guidance Towards More Accurate Scene Text Detection
Jianqi Ma
RRPN is among the outstanding scene text detection approaches, but the manually-designed anchor and coarse proposal refinement make the performance still far from perfection. In th…
Question Guided Modular Routing Networks for Visual Question Answering
Yanze Wu, Qiang Sun, Jianqi Ma +4
This paper studies the task of Visual Question Answering (VQA), which is topical in Multimedia community recently. Particularly, we explore two critical research problems existed i…
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Jianqi Ma, Weiyuan Shao, Hao Ye +4
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks (RRPN), which…