Results 121 to 130 of about 1,044 (284)
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
On geodesic mappings of manifolds with affine connection
In this paper we prove that all manifolds with affine connection are globally projectively equivalent to some space with equiaffine connection (equiaffine manifold). These manifolds are characterised by a symmetric Ricci tensor.
Mikes, Josef, Hinterleitner, Irena
openaire +3 more sources
PACKING DIMENSIONS, TRANSVERSAL MAPPINGS AND GEODESIC FLOWS
In this work we rst generalize the projection result by K. Falconer and J. How-royd concerning packing dimensions of projected measures on Rn to parametrized families of transversal mappings between smooth manifolds and measures on them.
Mika Leikas, Leikas, Mika
core
Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton +2 more
wiley +1 more source
ON REDUCED ALMOST GEODESIC MAPPINGS IN RIEMANNIAN SPACES
A Riemannian space \(V_ n\) is said to admit an almost geodesic mapping of type \(\pi_ 2\) onto \(\bar V_ n\) (N. S. Sinyukov), if there exist tensor fields \(\phi_ i,\psi_ i,\sigma_ i,\nu_ i\) and \(U^ k_ i\) satisfying the conditions: \({\bar\Gamma }{}^ h_{ij}=\Gamma^ k_{ij}+\phi_{(i}\delta^ k_{j)}+\psi_{(i}U^ k_{j)}\), \(U^ k_{(i,j)}+\psi_{(i}U^ n_ ...
openaire +3 more sources
Mesh Processing Non‐Meshes via Neural Displacement Fields
Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
FILOMAT (Niˇs) 16 (2002), 43–50 GEODESIC MAPPINGS BETWEEN KÄHLERIAN SPACES
Geodesic mappings from a Kählerian space Kn onto a Kählerian space ¯ Kn will be investigated in this paper. We present a construction of Kählerian space Kn which admits non-trivial geodesic mapping onto Kählerian space ¯ Kn.
Galina Starko, Olga Pokorná
core
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Some properties of harmonic mappings [PDF]
A harmonic map between Riemannian manifolds satisfies, in local coordinates, a second order semi-linear elliptic system of equations. This system of equations arise as the Euler-Lagrange equations of a natural Dirichlet or energy integral on maps between
Sealey, Howard C. J.
core
Porosity results for sets of strict contractions on geodesic metric spaces
We consider a large class of geodesic metric spaces, including Banach spaces, hyperbolic spaces and geodesic $\mathrm{CAT}(\kappa)$-spaces, and investigate the space of nonexpansive mappings on either a convex or a star-shaped subset in these settings ...
Simeon Reich +5 more
core +1 more source

