Search
Now showing items 1-6 of 6
Efficient Illumination Algorithms for Global Illumination in Interactive and Real-Time Rendering
(National Archive of PhD Theses, 2017-11-22)
The synthesis of photorealistic digital imagery has long been considered as one of the most fascinating
domains in the field of computer graphics. Its main goal is the generation of visually stunning images,
mimicking ...
Scalable exploration of 3D massive models
(2018-11-26)
This thesis introduces scalable techniques that advance the state-of-the-art in massive model creation and exploration. Concerning model creation, we present methods for improving reality-based scene acquisition and ...
Compendium of Publications on: Differential Operators on Manifolds for CAD CAM CAE and Computer Graphics
(EAFIT University, 2020-05-20)
This Doctoral Thesis develops novel articulations of Differential Operators on Manifolds for applications on Computer Aided Design, Manufacture and Computer Graphics, as follows:
(1) Mesh Parameterization and Segmentation. ...
Acquisition, Encoding and Rendering of Material Appearance Using Compact Neural Bidirectional Texture Functions
(2021-11-23)
This thesis addresses the problem of photo-realistic rendering of real-world materials. Currently the most faithful approach to render an existing material is scanning the Bidirectional Reflectance Function (BTF), which ...
Latency Hiding and High Fidelity Novel View Synthesis on Thin Clients using Decoupled Streaming Rendering from Powerful Servers
(Universität des Saarlandes, 2022)
Highly responsive 3D applications with state-of-the-art visual fidelity have always been associated with heavy immobile workstation hardware. By offloading demanding computations to powerful servers in the cloud, streaming ...
Self-Supervised Shape and Appearance Modeling via Neural Differentiable Graphics
(2023)
Inferring 3D shape and appearance from natural images is a fundamental challenge in computer vision. Despite recent progress using deep learning methods, a key limitation is the availability of annotated training data, as ...