Tag: signed-distance-function

• 360 Reconstruction From a Single Image Using Space Carved Outpainting (19 Sep 2023)
  

  This is my reading note for 360 Reconstruction From a Single Image Using Space Carved Outpainting. This paper proposes a method of 3D reconstruction from a single image. To the it represents the 3D object by NERF and iteratively update the NERF by rendering new view using Dream booth.

• Dynamic Mesh-Aware Radiance Fields (08 Sep 2023)
  

  This is my reading note on Dynamic Mesh-Aware Radiance Fields. This paper proposes a method of rendering NERF with mesh simultaneously. To do that, it modifies the ray trace. To handle occlusion and shadow, SDF is used to represent the surface of NERF and light source is estimated from NERF.

• FineRecon Depth-aware Feed-forward Network for Detailed 3D Reconstruction (14 Aug 2023)
  

  This is my reading note for FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction. It proposes a high detail surface reconstruction algorithm based voxel volume and multi-view geometry. Two major novelties: improve reconstruction accuracy using a novel MVS depth-guidance strategy and enable the reconstruction of sub-voxel detail with a novel TSDF prediction architecture that can be queriedat any 3D point, using point back-projected fine-grained image features.

• MeshDiffusion Score-based Generative 3D Mesh Modeling (02 Jul 2023)
  

  This is my reading note for MeshDiffusion: Score-based Generative 3D Mesh Modeling. This paper represents the 3D mesh as a reformed tetrahedral which is defined on a regular 3D grid with 4 channel features: 3D positional deformation of the vertex and signed distance function values to define the surface.