Neural graphics primitives, parameterized by fully connected neural networks, can be costly
to train and evaluate. We reduce this cost with a versatile new input encoding that permits …

Neural signed distance functions (SDFs) are emerging as an effective representation for 3D
shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

Reference datasets are a key tool in the creation of new algorithms. They allow us to
compare different existing solutions and identify problems and weaknesses during the …

In this paper, we present an adaptive structure to represent a signed distance field through
trilinear or tricubic interpolation of values, and derivatives, that allows for fast querying of the …

Rendering large numbers of dense line bundles in three dimensions is a common need for
many visualization techniques, including streamlines and fiber tractography. Unfortunately …

Figure 1: 1.4 M-triangle scene at 720p resolution on GeForce 280 GT using geometry from
Marvel Ultimate Alliance 2 by Vicarious Visions/Activision. The new Ambient Occlusion …

Modeling appealing virtual scenes is an elaborate and time-consuming task, requiring not
only training and experience, but also powerful modeling tools providing the desired …

Computer Graphics since its existence has been striving to visualize its representations of
surfaces and objects to accurately match their real life counterparts. We investigate the …

We present a segmentation software package primarily targeting medical and biological
applications, with a high level of visual feedback and several usability enhancements over …