If you want to fly around the bunny, but don't need the model, try ScanView, our client / server rendering system. We have also captured a light field of the bunny, using a gantry made from …

The Stanford Bunny model was originally constructed in 1994 by Greg Turk and Marc Levoy using a technique they developed to create polygonal models from range scans (see their paper). …

The Stanford Bunny is one of the most commonly used test models in computer graphics. It is a collection of 69,451 triangles, and it was assembled from range images of a clay bunny that is …

Based on Neural Stanford Bunny (5 kb) by Blackle Mori. SDF for a bunny.

The Stanford bunny is a computer graphics 3D test model developed by Greg Turk and Marc Levoy in 1994 at Stanford University. The model consists of 69,451 triangles, with the data …

Jan 15, 2024 · python scripts/run.py \ --scene data/sdf/bunny.obj \ --load_snapshot data/sdf/base.ingp \ --save_snapshot data/sdf/base.ingp \ --n_steps 100000 I have trained a …

In this work, we introduce DeepSDF, a learned continuous Signed Distance Function (SDF) representation of a class of shapes that enables high quality shape representation, …

This dataset contains path traced images of a modified version of the Stanford Bunny model with 850 verticies downscaled using Blender. As these images portray the Stanford Bunny, …

python/integrators/ contains various differentiable SDF integrators. For most results, we use a differentiable direct illumination integrator ( sdf_direct_reparam ). The optimization of the …

We propose Medial Atom Ray Fields (MARFs), a novel neural object representation that enables accurate differentiable surface rendering with a single network evaluation per camera ray....