TL;DR
This paper introduces an efficient three-step method for generating and rendering highly realistic hair and fur in images, applicable to various creative and restorative applications.
Contribution
It presents a novel, streamlined approach combining artist-like design, convolution filtering, and boundary refinement for photorealistic hair synthesis.
Findings
Effective in creating diverse types of realistic hair and fur.
Applicable to hairstyle design, image restoration, and virtual makeovers.
Produces high-quality, seamless hair images with minimal artifacts.
Abstract
This paper presents an efficient method for generating and rendering photorealistic hair in two dimensional pictures. The method consists of three major steps. Simulating an artist drawing is used to design the rough hair shape. A convolution based filter is then used to generate photorealistic hair patches. A refine procedure is finally used to blend the boundaries of the patches with surrounding areas. This method can be used to create all types of photorealistic human hair (head hair, facial hair and body hair). It is also suitable for fur and grass generation. Applications of this method include: hairstyle designing/editing, damaged hair image restoration, human hair animation, virtual makeover of a human, and landscape creation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Color Science and Applications