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Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks.

, , , and . NIPS, page 622-630. (2016)

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An Improved Training Procedure for Neural Autoregressive Data Completion., and . CoRR, (2017)The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference., , , and . CVPR, page 11604-11613. IEEE, (2022)CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language., , , , , , , and . CVPR, page 18339-18348. IEEE, (2023)Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections., , , and . SIGGRAPH (Conference Paper Track), page 2:1-2:9. ACM, (2022)R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding., , , , and . CoRR, (2024)CharacterMixer: Rig-Aware Interpolation of 3D Characters., , and . CoRR, (2024)Learning Body-Aware 3D Shape Generative Models., , , , , and . CoRR, (2021)SHRED: 3D Shape Region Decomposition with Learned Local Operations., , and . ACM Trans. Graph., 41 (6): 186:1-186:11 (2022)Deep convolutional priors for indoor scene synthesis., , , and . ACM Trans. Graph., 37 (4): 70 (2018)Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs., , , and . ACM Trans. Graph., 32 (4): 37:1-37:12 (2013)