Blind video decaptioning is a problem of automatically removing text overlays and inpainting the occluded parts in videos without any input masks.
Many video enhancement algorithms rely on optical flow to register frames in a video sequence.
#4 best model for Video Frame Interpolation on Vimeo90k
In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture.
In this work, we propose a novel video denoising method, based on an online tensor reconstruction scheme with a joint adaptive sparse and low-rank model, dubbed SALT.