WebDec 19, 2024 · Our program produces high-quality mesh outputs by construction. We use a neural network to map a given point cloud or sketch to our interpretable parameter … WebDec 20, 2024 · Title: GeoCode: Interpretable Shape Programs Authors: Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, Rana Hanocka. Comments: project page: this https URL. Subjects: Graphics (cs.GR) arXiv:2212.11709 . Title: Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems
ShapeAssembly: Learning to Generate Programs for 3D Shape …
WebJan 16, 2024 · These provide trade-offs across fidelity, efficiency and compression capabilities. 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, interpolation and completion from partial and noisy 3D input data. WebThe following articles are merged in Scholar. Their combined citations are counted only for the first article. city services gmbh
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WebToward Design Options, Mass-Customization, and Generative Design GeoCode: (Interpretable Shape Programs) maps 3D shapes to a human-interpretable… تم إبداء الإعجاب من قبل Youmna Hafez. With NeRF, Now you can add a realistic weather effect to your scene using some parameters like water level ....etc . these amazing features ... WebFeb 6, 2024 · NeRF has become the de facto algorithm for volumetric and material property representation (volume is the 3D shape itself, and texture is applied to the 3D model to provide its aesthetic properties. ) Improvements to NeRF, like NVIDIA’s Instant-NGP, have shown substantial performance improvements, but 3D construction can still take hours, if ... WebGeoCode: Interpretable Shape Programs. Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, and Rana Hanocka. ArXiv 2024. Code Page PDF. LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis … city services greensboro