Search for dissertations about: "Hair Rendering"

Found 4 swedish dissertations containing the words Hair Rendering.

  2. 1. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations

    Author : Roc Ramon Currius; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neural Networks; Real-time rendering; Lightfields; Realistic Rendering; Global Illumination; Hair Rendering; Machine Learning;

    Abstract : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. READ MORE

  4. 2. Efficient real-time visibility testing

    Author : Erik Sintorn; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; soft shadows; volumetric shadows; deep shadow-maps; order-independent transparency; hair; shadows; rendering; visibility;

    Abstract : Visibility testing is an integral part of many computer graphics algorithms. For example, algorithms that generate images with shadows, ambient occlusion, environment lighting or transparency all require an efficient means of establishing the visibility between two or more points in a virtual scene. READ MORE

  5. 3. Efficient rendering of semi-transparent geometry in real-time

    Author : Erik Sintorn; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Rendering images of semi-transparent geometry representing e.g. READ MORE

  6. 4. The role of RFX transcription factors in neurons and in the human brain

    Author : Debora Sugiaman-Trapman; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : RFX transcription factors (TFs) are conserved in animals, fungi and some amoebae, but not in algae, plants and protozoan species. The conservation is based on the protein sequence of the DNA binding domain (DBD). The RFX DBD recognizes and binds to a DNA sequence motif called the X-box. READ MORE