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Surface reconstruction from point clouds: A survey and a benchmark
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete
point cloud observation is a long-standing problem in computer vision and graphics …
point cloud observation is a long-standing problem in computer vision and graphics …
Ai-generated content (aigc) for various data modalities: A survey
AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
other media using AI algorithms. Due to its wide range of applications and the demonstrated …
Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
We present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D
meshes generation from a single unposed image in the wild using both2D and 3D priors. In …
meshes generation from a single unposed image in the wild using both2D and 3D priors. In …
Deep marching tetrahedra: a hybrid representation for high-resolution 3d shape synthesis
We introduce DMTet, a deep 3D conditional generative model that can synthesize high-
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
resolution 3D shapes using simple user guides such as coarse voxels. It marries the merits …
Text2mesh: Text-driven neural stylization for meshes
In this work, we develop intuitive controls for editing the style of 3D objects. Our framework,
Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which …
Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which …
Neural kernel surface reconstruction
We present a novel method for reconstructing a 3D implicit surface from a large-scale,
sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural …
sparse, and noisy point cloud. Our approach builds upon the recently introduced Neural …
Flexible isosurface extraction for gradient-based mesh optimization
This work considers gradient-based mesh optimization, where we iteratively optimize for a
3D surface mesh by representing it as the isosurface of a scalar field, an increasingly …
3D surface mesh by representing it as the isosurface of a scalar field, an increasingly …
Shape as points: A differentiable poisson solver
In recent years, neural implicit representations gained popularity in 3D reconstruction due to
their expressiveness and flexibility. However, the implicit nature of neural implicit …
their expressiveness and flexibility. However, the implicit nature of neural implicit …
Learning consistency-aware unsigned distance functions progressively from raw point clouds
Surface reconstruction for point clouds is an important task in 3D computer vision. Most of
the latest methods resolve this problem by learning signed distance functions (SDF) from …
the latest methods resolve this problem by learning signed distance functions (SDF) from …
SP-GAN: Sphere-guided 3D shape generation and manipulation
We present SP-GAN, a new unsupervised sphere-guided generative model for direct
synthesis of 3D shapes in the form of point clouds. Compared with existing models, SP-GAN …
synthesis of 3D shapes in the form of point clouds. Compared with existing models, SP-GAN …