activity
20212026
most citedAssessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

15 citations · 32 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2026

Bridging Event Streams and DiT: Event-Guided Video Frame Interpolation

Guixu Lin, Yuyang Yu, Xiang Ji +6

Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling large temporal gaps and complex…

cs.CV2025

AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models

Muyao Niu, Mingdeng Cao, Yifan Zhan +6

Recent advances in video diffusion models have substantially enhanced character animation techniques. However, existing methods primarily depend on structural conditions, such as D…

cs.CV2024

Instruction-based Image Manipulation by Watching How Things Move

Mingdeng Cao, Xuaner Zhang, Yinqiang Zheng +1

This paper introduces a novel dataset construction pipeline that samples pairs of frames from videos and uses multimodal large language models (MLLMs) to generate editing instructi…

cs.CV2024

Rolling Shutter Correction with Intermediate Distortion Flow Estimation

Mingdeng Cao, Sidi Yang, Yujiu Yang +1

This paper proposes to correct the rolling shutter (RS) distorted images by estimating the distortion flow from the global shutter (GS) to RS directly. Existing methods usually per…

cs.CV2024

Taming Lookup Tables for Efficient Image Retouching

Sidi Yang, Binxiao Huang, Mingdeng Cao +4

The widespread use of high-definition screens in edge devices, such as end-user cameras, smartphones, and televisions, is spurring a significant demand for image enhancement. Exist…

cs.CV2023★ 15 cited

Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

Tianhe Wu, Shuwei Shi, Haoming Cai +4

Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality…

cs.CV2023★ 8 cited

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Mingdeng Cao, Xintao Wang, Zhongang Qi +3

Despite the success in large-scale text-to-image generation and text-conditioned image editing, existing methods still struggle to produce consistent generation and editing results…

eess.IV2023★ 1 cited

OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer

Fanghua Yu, Xintao Wang, Mingdeng Cao +3

Omnidirectional images (ODIs) have obtained lots of research interest for immersive experiences. Although ODIs require extremely high resolution to capture details of the entire sc…

cs.CV2022

Blur Interpolation Transformer for Real-World Motion from Blur

Zhihang Zhong, Mingdeng Cao, Xiang Ji +2

This paper studies the challenging problem of recovering motion from blur, also known as joint deblurring and interpolation or blur temporal super-resolution. The challenges are tw…

cs.CV2022

Towards Real-World Video Deblurring by Exploring Blur Formation Process

Mingdeng Cao, Zhihang Zhong, Yanbo Fan +5

This paper aims at exploring how to synthesize close-to-real blurs that existing video deblurring models trained on them can generalize well to real-world blurry videos. In recent…

cs.CV2022

Learning Adaptive Warping for Real-World Rolling Shutter Correction

Mingdeng Cao, Zhihang Zhong, Jiahao Wang +2

This paper proposes the first real-world rolling shutter (RS) correction dataset, BS-RSC, and a corresponding model to correct the RS frames in a distorted video. Mobile devices in…

cs.CV2022★ 3 cited

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Sidi Yang, Tianhe Wu, Shuwei Shi +5

No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception. Unfortunately, existing NR-IQA method…

cs.CV2022

VDTR: Video Deblurring with Transformer

Mingdeng Cao, Yanbo Fan, Yong Zhang +2

Video deblurring is still an unsolved problem due to the challenging spatio-temporal modeling process. While existing convolutional neural network-based methods show a limited capa…

cs.CV2022★ 4 cited

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN

Fei Yin, Yong Zhang, Xiaodong Cun +7

One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging qua…

cs.CV2022

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Zhihang Zhong, Mingdeng Cao, Xiao Sun +5

Rolling shutter (RS) distortion can be interpreted as the result of picking a row of pixels from instant global shutter (GS) frames over time during the exposure of the RS camera.…

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

cs.CV2021★ 1 cited

Region-Adaptive Deformable Network for Image Quality Assessment

Shuwei Shi, Qingyan Bai, Mingdeng Cao +4

Image quality assessment (IQA) aims to assess the perceptual quality of images. The outputs of the IQA algorithms are expected to be consistent with human subjective perception. In…