69 citations · 361 across the 31 of their papers we have counts for
31 papers
Realistic Noise Synthesis with Diffusion Models
Qi Wu, Mingyan Han, Ting Jiang +5
Deep denoising models require extensive real-world training data, which is challenging to acquire. Current noise synthesis techniques struggle to accurately model complex noise dis…
Exposure Fusion for Hand-held Camera Inputs with Optical Flow and PatchMatch
Ru Li, Guanghui Liu, Bing Zeng +1
This paper proposes a hybrid synthesis method for multi-exposure image fusion taken by hand-held cameras. Motions either due to the shaky camera or caused by dynamic scenes should…
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning
Haipeng Li, Kunming Luo, Bing Zeng +1
Existing homography and optical flow methods are erroneous in challenging scenes, such as fog, rain, night, and snow because the basic assumptions such as brightness and gradient c…
Minimum Latency Deep Online Video Stabilization
Zhuofan Zhang, Zhen Liu, Ping Tan +2
We present a novel camera path optimization framework for the task of online video stabilization. Typically, a stabilization pipeline consists of three steps: motion estimating, pa…
Ghost-free High Dynamic Range Imaging with Context-aware Transformer
Zhen Liu, Yinglong Wang, Bing Zeng +1
High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images with realistic details. Restricted by the locality of the receptive field, existing CNN-based m…
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement
Renwei Yang, Shuyuan Zhu, Xiaozhen Zheng +1
Convolution neural network (CNN) based methods offer effective solutions for enhancing the quality of compressed image and video. However, these methods ignore using the raw data t…