SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 191–200 of 280 papers

TitleStatusHype
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
Show:102550
← PrevPage 20 of 28Next →

No leaderboard results yet.