Surfacenet: An end-to-end 3d neural network for multiview stereopsis
This paper proposes an end-to-end learning framework for multiview stereopsis. We term
the network SurfaceNet. It takes a set of images and their corresponding camera parameters …
the network SurfaceNet. It takes a set of images and their corresponding camera parameters …
Example-based image colorization using locality consistent sparse representation
Image colorization aims to produce a natural looking color image from a given gray-scale
image, which remains a challenging problem. In this paper, we propose a novel example …
image, which remains a challenging problem. In this paper, we propose a novel example …
SurfaceNet+: An end-to-end 3D neural network for very sparse multi-view stereopsis
Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the
observations become sparser, the significant 3D information loss makes the MVS problem …
observations become sparser, the significant 3D information loss makes the MVS problem …
Cartoon and texture decomposition-based color transfer for fabric images
A color design process for fabric images can resort to a solution of a color transfer problem
based on given color themes. Usually, the color transfer process contains an image …
based on given color themes. Usually, the color transfer process contains an image …
MUGAN: thermal infrared image colorization using mixed-skipping UNet and generative adversarial network
H Liao, Q Jiang, X Jin, L Liu, L Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Common cameras cannot capture high quality image in the night or extreme weather
conditions that without enough light, while thermal infrared (TIR) cameras are not limited in …
conditions that without enough light, while thermal infrared (TIR) cameras are not limited in …
Spatiotemporal colorization of video using 3d steerable pyramids
S Paul, S Bhattacharya, S Gupta - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We propose a new technique for video colorization based on spatiotemporal color
propagation in the 3D video volume, utilizing the dominant orientation response obtained …
propagation in the 3D video volume, utilizing the dominant orientation response obtained …
Efficient image colorization based on seed pixel selection
Colorization is a technique to automatically produce color components for monochrome
images and videos based on a few input colors. Generally, image colorization is initialized …
images and videos based on a few input colors. Generally, image colorization is initialized …
Black and White Image Colorization Using Convolutional Neural Networks
K Revathi, MAS Kumar, S Karthikeya… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Colorization of black and white images has become increasingly important with the advent
of high-quality and high-resolution pictures in modern-day life. This project proposes a …
of high-quality and high-resolution pictures in modern-day life. This project proposes a …
Image colourisation by non‐local total variation method in the CB and YIQ colour spaces
Colourisation is a process of adding colour to greyscale images. In this study, the authors
propose two new colourisation models based on non‐local total variation regularisation in …
propose two new colourisation models based on non‐local total variation regularisation in …
[PDF][PDF] Colorization of Grayscale Image Sequences using Texture Descriptors.
AP Ramos, FC Flores - VISIGRAPP (4: VISAPP), 2019 - scitepress.org
Colorization is the process of adding colors to a monochromatic image or video. Usually, the
process involves to segment the image in regions of interest and then apply colors to each …
process involves to segment the image in regions of interest and then apply colors to each …