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Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …
understanding of materials behavior has been the focus of many works in computational …
State of the art in example-based texture synthesis
LY Wei, S Lefebvre, V Kwatra, G Turk - … 2009, State of the Art Report …, 2009 - inria.hal.science
Recent years have witnessed significant progress in example-based texture synthesis
algorithms. Given an example texture, these methods produce a larger texture that is tailored …
algorithms. Given an example texture, these methods produce a larger texture that is tailored …
Texfusion: Synthesizing 3d textures with text-guided image diffusion models
Abstract We present TexFusion (Texture Diffusion), a new method to synthesize textures for
given 3D geometries, using only large-scale text-guided image diffusion models. In contrast …
given 3D geometries, using only large-scale text-guided image diffusion models. In contrast …
Paint3d: Paint anything 3d with lighting-less texture diffusion models
This paper presents Paint3D a novel coarse-to-fine generative framework that is capable of
producing high-resolution lighting-less and diverse 2K UV texture maps for untextured 3D …
producing high-resolution lighting-less and diverse 2K UV texture maps for untextured 3D …
Texturedreamer: Image-guided texture synthesis through geometry-aware diffusion
We present TextureDreamer a novel image-guided texture synthesis method to transfer
relightable textures from a small number of input images (3 to 5) to target 3D shapes across …
relightable textures from a small number of input images (3 to 5) to target 3D shapes across …
Text-guided texturing by synchronized multi-view diffusion
This paper introduces a novel approach to synthesize texture to dress up a 3D object, given
a text prompt. Based on the pre-trained text-to-image (T2I) diffusion model, existing methods …
a text prompt. Based on the pre-trained text-to-image (T2I) diffusion model, existing methods …
[PDF][PDF] PatchMatch: A randomized correspondence algorithm for structural image editing
This paper presents interactive image editing tools using a new randomized algorithm for
quickly finding approximate nearestneighbor matches between image patches. Previous …
quickly finding approximate nearestneighbor matches between image patches. Previous …
Learning a neural 3d texture space from 2d exemplars
We suggest a generative model of 2D and 3D natural textures with diversity, visual fidelity
and at high computational efficiency. This is enabled by a family of methods that extend …
and at high computational efficiency. This is enabled by a family of methods that extend …
Stylit: illumination-guided example-based stylization of 3d renderings
We present an approach to example-based stylization of 3D renderings that better preserves
the rich expressiveness of hand-created artwork. Unlike previous techniques, which are …
the rich expressiveness of hand-created artwork. Unlike previous techniques, which are …
Image restoration by matching gradient distributions
The restoration of a blurry or noisy image is commonly performed with a MAP estimator,
which maximizes a posterior probability to reconstruct a clean image from a degraded …
which maximizes a posterior probability to reconstruct a clean image from a degraded …