DEEP IMPLICITS
Luiz
Velho
IMPA - January
2021
1st Generation Models (Global)
- Occupancy Networks: Learning 3D Reconstruction in Function Space (2019)
PDF |
video
- Learning Implicit Fields for Generative Shape Modeling (2019)
PDF |
page
- DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation (2019)
PDF |
video
- Deep Level Sets: Implicit Surface Representations for 3D Shape Inference (2019)
PDF |
page
2nd Generation Models (Local)
- Geof Hinton -- Learnable Convex Decomposition
video
- Hao Zang -- Generating Meshes via Binary Space Partitioning
video
- Thomas Funkhouser -- Learning Implicit 3D Shape Representations
video
- Andreas Geiger -- Implicit Neural Representations: From Objects to
3D Scenes
video
- Richard Newcombe -- Deep Local Shapes
paper
3rd Generation Models (Eikonal)
- Vincent Sitzmann -- Implicit Neural Scene Representations
video
- Yaron Lipman -- Implicit Geometric Regularization
video
4rd Generation Models (Light Fields)
- Neural Radiance Fields (2020)
website
- Differentiable Volumetric Rendering (2020)
website
- Multiview Neural Surface Reconstruction (2020)
website
Rendering / Extraction
- Deep Marching Cubes: Learning Explicit Surface Representations (2018)
PDF
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (2019)
PDF
Related Techniques
- Learning to Infer Implicit Surfaces without 3D Supervision (2019)
PDF
- PIFu: Pixel-Aligned Implicit Function (2019)
page
- NASA: Neural Articulated Shape Approximation (2019)
page
- Neural Geometric Level of Detail (2021)
page
Etc.
Last Update:
by lvelho.