It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …
promise of direct sketch control in generative AI. We importantly democratise the process …
Review of Deep Learning-Based Image Inpainting Techniques
J Yang, NIR Ruhaiyem - IEEE Access, 2024 - ieeexplore.ieee.org
The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …
image processing techniques for filling in missing or removed regions in static planar …
Deep learning-based image and video inpainting: A survey
Image and video inpainting is a classic problem in computer vision and computer graphics,
aiming to fill in the plausible and realistic content in the missing areas of images and videos …
aiming to fill in the plausible and realistic content in the missing areas of images and videos …
Marvel: Raster gray-level manga vectorization via primitive-wise deep reinforcement learning
Manga is a fashionable Japanese-style comic form that is composed of black-and-white
strokes and is generally displayed as raster images on digital devices. Typical mangas have …
strokes and is generally displayed as raster images on digital devices. Typical mangas have …
Line drawing guided progressive inpainting of mural damages
Mural image inpainting refers to repairing the damage or missing areas in a mural image to
restore the visual appearance. Most existing image-inpainting methods tend to take a target …
restore the visual appearance. Most existing image-inpainting methods tend to take a target …
Multi-granularity association learning for on-the-fly fine-grained sketch-based image retrieval
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a
specific photo from a given query sketch. However, its widespread applicability is limited …
specific photo from a given query sketch. However, its widespread applicability is limited …
Reference based sketch extraction via attention mechanism
We propose a model that extracts a sketch from a colorized image in such a way that the
extracted sketch has a line style similar to a given reference sketch while preserving the …
extracted sketch has a line style similar to a given reference sketch while preserving the …
Thin-plate spline-based interpolation for animation line inbetweening
Animation line inbetweening is a crucial step in animation production aimed at enhancing
animation fluidity by predicting intermediate line arts between two key frames. However …
animation fluidity by predicting intermediate line arts between two key frames. However …
LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR
On-the-fly Fine-grained sketch-based image retrieval (On-the-fly FG-SBIR) framework aim to
break the barriers that sketch drawing requires excellent skills and is time-consuming …
break the barriers that sketch drawing requires excellent skills and is time-consuming …
Bi-lstm sequence modeling for on-the-fly fine-grained sketch-based image retrieval
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a
particular photo for a given query sketch. However, its widespread applicability is limited by …
particular photo for a given query sketch. However, its widespread applicability is limited by …