[2404.12509] Compositional Neural Textures - arXiv.org
2024年4月18日 · In this work, we introduce a fully unsupervised approach for representing textures using a compositional neural model that captures individual textons. We represent each texton as a 2D Gaussian function whose spatial support approximates its shape, and an associated feature that encodes its detailed appearance.
Texture and reflection in computer generated images
In 1974 Catmull developed a new algorithm for rendering images of bivariate surface patches. This paper describes extensions of this algorithm in the areas of texture simulation and lighting models. The parametrization of a patch defines a coordinate system which is used as a key for mapping patterns onto the surface.
全面解析CGI，这些CG基础知识是影响你突破的原因之一 - 知乎
CGI，电脑生成动画（Computer-generated imagery），被广泛运用于电影、电视、视频游戏、互动多媒体等领域的计算机图像技术。 世界上第一部完全的CGI动画电影是1995年由皮克斯出品的《玩具总动员》。
Compositional Neural Textures
Texture plays a vital role in enhancing visual richness in both real photographs and computer-generated imagery. However, the process of editing textures often involves laborious and repetitive manual adjustments of textons, which are the …
Texture and Reflection in Computer Generated Images James F. Blinn and Martin E. Newel! University of Utah In 1974 Catmull developed a new algorithm for rendering images of bivariate surface patches. This paper describes extensions of this algorithm in the areas of texture simulation and lighting models. The
The appearance of a computer-generated image can be improved by adding realistic texture. In their seminal work, Heeger and Bergen [2] proposed a novel approach for synthesizing textures. Their method starts with a random noise image and iteratively adjust its statistics at different scales to match those of the target texture,
Texture and reflection in computer generated images
In 1974 Ed Catmull developed a new algorithm for rendering images of bivariate surface patches. This paper describes extensions of this algorithm in the areas of texture simulation and lighting mod...
In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are the first to examine texture control. We allow a user to place a texture patch on a sketch at arbitrary locations and scales to control the desired output texture.
Behind the Pixels: Crafting Hyper-Realistic Textures for CGI
2024年1月29日 · In the ever-evolving world of CGI (Computer Generated Imagery), creating hyper-realistic textures is a crucial aspect of achieving a lifelike and immersive digital environment. Whether...
Understanding deep features with computer-generated imagery
2015年6月3日 · Abstract: We introduce an approach for analyzing the variation of features generated by convolutional neural networks (CNNs) with respect to scene factors that occur in natural images. Such factors may include object style, 3D …