69 citations · 361 across the 31 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023
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…
cs.CV2023
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…
cs.CV2023★ 2 cited
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…