Sparse Sampling for Image-Based SVBRDF Acquisition

A subset of images was used to evaluate each interpola- tion method: 20 lights at large view increments for light-first interpolation, and 5 lights at small view increments for

Table 1 shows all the data for the input images shown in Figure 4: for each light source present in the scene, we show the real measured locations of the light sources, the

Figure 1: Our image-based stereo view synthesis pipeline from left to right: We assume a rendered image with depth buffer, as well as a disparity map as the input of our method..

Figure 1: The best and the worst view of a church model according to Image based best view selection

Figure 1: (A) A traditional image-stitching result where the images are first aligned using a geometric transform computed based on the best overall fit of 96 matched points followed

2 paper1024 / Supplemental Material for Photon Splatting Using a View-Sample Cluster Hierarchy. Figure 1: Path traced images of Sponza

It consists of a collimated beam light source, a beam splitter, a detector and a flat mirror put on the measured surface sample that we want to orientate perpendicularly to the

In the case of using the proposed network including the pose estimation part, we used 256 × 256 images as input be- cause the size of the input image must be power of two so that