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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 176–200 of 280 papers

TitleStatusHype
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction—0
DRAN: Detailed Region-Adaptive Normalization for Conditional Image SynthesisCode0
Occlusion-Aware Video Object Inpainting—0
Level generation and style enhancement -- deep learning for game development overview—0
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation—0
Differentiable Programming of Reaction-Diffusion Patterns—0
Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics—0
Pareidolia Face Reenactment—0
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction—0
Texture synthesis via projection onto multiscale, multilayer statistics—0
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction—0
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations—0
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures—0
Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach—0
Thousand to One: Semantic Prior Modeling for Conceptual Coding—0
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?—0
Generator Pyramid for High-Resolution Image Inpainting—0
Neural FFTs for Universal Texture Image Synthesis—0
MTCRNN: A multi-scale RNN for directed audio texture synthesis—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
A deep learning based interactive sketching system for fashion images design—0
NITES: A Non-Parametric Interpretable Texture Synthesis Method—0
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