Neuris: Neural reconstruction of indoor scenes using normal priors
Reconstructing 3D indoor scenes from 2D images is an important task in many computer
vision and graphics applications. A main challenge in this task is that large texture-less …
vision and graphics applications. A main challenge in this task is that large texture-less …
Strand-accurate multi-view hair capture
Hair is one of the most challenging objects to reconstruct due to its micro-scale structure and
a large number of repeated strands with heavy occlusions. In this paper, we present the first …
a large number of repeated strands with heavy occlusions. In this paper, we present the first …
General virtual sketching framework for vector line art
Vector line art plays an important role in graphic design, however, it is tedious to manually
create. We introduce a general framework to produce line drawings from a wide variety of …
create. We introduce a general framework to produce line drawings from a wide variety of …
Fabricable 3D Wire Art
This paper presents a computational method for automatically creating fabricable 3D wire
sculptures from various input modalities, including 3D models, images, and even text. There …
sculptures from various input modalities, including 3D models, images, and even text. There …
Differentiable Rendering of Parametric Geometry
We propose an efficient method for differentiable rendering of parametric surfaces and
curves, which enables their use in inverse graphics problems. Our central observation is that …
curves, which enables their use in inverse graphics problems. Our central observation is that …
[HTML][HTML] Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering
F Zhang, Z Ji, W Kang, W Li, Z Su - Graphical Models, 2024 - Elsevier
With the support of Virtual Reality (VR) and Augmented Reality (AR) technologies, the 3D
virtual eyeglasses try-on application is well on its way to becoming a new trending solution …
virtual eyeglasses try-on application is well on its way to becoming a new trending solution …
DeepPipes: Learning 3D pipelines reconstruction from point clouds
Pipes are the basic building block in many industrial sites like electricity and chemical
plants. Although pipes are merely cylindrical primitives which can be defined by axis and …
plants. Although pipes are merely cylindrical primitives which can be defined by axis and …
3D reconstruction of a complex grid structure combining UAS images and deep learning
The latest advances in technical characteristics of unmanned aerial systems (UAS) and their
onboard sensors opened the way for smart flying vehicles exploiting new application areas …
onboard sensors opened the way for smart flying vehicles exploiting new application areas …
Bend-it: design and fabrication of kinetic wire characters
Elastically deforming wire structures are lightweight, durable, and can be bent within
minutes using CNC bending machines. We present a computational technique for the …
minutes using CNC bending machines. We present a computational technique for the …
Reconstructing thin structures of manifold surfaces by integrating spatial curves
The manifold surface reconstruction in multi-view stereo often fails in retaining thin structures
due to incomplete and noisy reconstructed point clouds. In this paper, we address this …
due to incomplete and noisy reconstructed point clouds. In this paper, we address this …