2023 · 57 citations · 51 references
ComputingComputer ScienceComputer GraphicsComputer VisionRendering3D Reconstruction3D RenderingImage SynthesisPhotorealistic RenderingProcedural Image GenerationRendering Pipeline3D Scene Understanding3D Semantic SegmentationProcedural Scene GenerationProcedural Scene ModelingRender EnginesScene Reconstruction For RenderingScene Representation
We introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from scratch via randomized mathematical rules, using no external source and allowing infinite variation and composition. Infinigen offers broad coverage of objects and scenes in the natural world including plants, animals, terrains, and natural phenomena such as fire, cloud, rain, and snow. Infinigen can be used to generate unlimited, diverse training data for a wide range of computer vision tasks including object detection, semantic segmentation, optical flow, and 3D reconstruction. We expect Infinigen to be a useful resource for computer vision research and beyond. Please visit infinigen.org for videos, code and pre-generated data.
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Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM · 2021 · 5.8K citations · Full text
OpenStreetMap: User-Generated Street Maps
Muki Haklay, Patrick Weber · IEEE Pervasive Computing · 2008 · 3.1K citations · Full text
Illumination for computer generated pictures
Bui Tuong Phong · Communications of the ACM · 1975 · 3K citations · Full text