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Texture Synthesis

The fundamental goal of example-based Texture Synthesis is to generate a texture, usually larger than the input, that faithfully captures all the visual characteristics of the exemplar, yet is neither identical to it, nor exhibits obvious unnatural looking artifacts.

Source: Non-Stationary Texture Synthesis by Adversarial Expansion

Papers

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Showing 161–170 of 280 papers

TitleStatusHype
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture—0
Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion—0
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter—0
TUVF: Learning Generalizable Texture UV Radiance Fields—0
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models—0
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction—0
User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks—0
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction—0
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing—0
Video-driven Neural Physically-based Facial Asset for Production—0
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