Key Summary: [CVPR 2023] Diffusion-Based Signed Distance Fields for 3D Shape Generation (8min)

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Deep Parametric Shape Predictions using Distance Fields (CVPR 2020)

Deep Parametric Shape Predictions using Distance Fields (CVPR 2020)

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Structure-guided Ranking Loss for Single Image Depth Prediction (CVPR 2020)

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[CVPR 2023] Diffusion-Based Signed Distance Fields for 3D Shape Generation (8min)

[CVPR 2023] Diffusion-Based Signed Distance Fields for 3D Shape Generation (8min)

[CVPR 2023] Diffusion-Based Signed Distance Fields for 3D Shape Generation (8min)

[CVPR'20] DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

[CVPR'20] DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

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Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)

Neural Unsigned Distance Fields for Implicit Function Learning (NeurIPS 2020)

For 3D reconstruction and representation, we train a neural model to

CSC2547   DeepSDF  Learning Continuous Signed Distance Functions for Shape Representation

CSC2547 DeepSDF Learning Continuous Signed Distance Functions for Shape Representation

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Demetri Spanos โ€“ Foliated Distance Fields โ€“ BSC 2025

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[CVPR 2020 Oral] High-dimensional Convolutional Neural Networks for Geometric Pattern Recognition

[CVPR 2020 Oral] High-dimensional Convolutional Neural Networks for Geometric Pattern Recognition

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CVPR 2020: Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

CVPR 2020: Generative Hybrid Representations for Activity Forecasting with No-Regret Learning

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[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition

[CVPR 2020 Oral] Quick intro to High-dimensional ConvNets for Geometric Pattern Recognition

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