Browse State-of-the-Art › Texture Synthesis
Texture Synthesis
104 papers with code · 0 benchmarks · 3 datasets archive 2025-07-28
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
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 104 papers with code (280 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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27 May 2015 16 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition.
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18 May 2017 7 repositories listedSecond, we show that the image generation with PSGANs has properties of a texture manifold: we can smoothly interpolate between samples in the structured noise space and generate novel samples, which lie perceptually…
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18 Jan 2016 7 repositories listed Syntology ran 0 of 18 samples · 18 unverifiedThis paper studies a combination of generative Markov random field (MRF) models and discriminatively trained deep convolutional neural networks (dCNNs) for synthesizing 2D images.
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31 Jan 2017 5 repositories listedThese losses can improve the quality of large features, improve the separation of content and style, and offer artistic controls such as paint by numbers.
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22 Aug 2021 4 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedDeep generative approaches have recently made considerable progress in image inpainting by introducing structure priors.
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23 Dec 2016 4 repositories listed Syntology ran 0 of 5 samples · 5 unverified · 3 pointer-only (licence)Single image super-resolution is the task of inferring a high-resolution image from a single low-resolution input.
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3 Jun 2016 4 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedGatys et al.
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30 Nov 2021 3 repositories listedVideo frame interpolation (VFI) is currently a very active research topic, with applications spanning computer vision, post production and video encoding.
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26 Nov 2021 3 repositories listedWe study the problem of example-based procedural texture synthesis using highly compact models.
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15 May 2021 3 repositories listedNeural Cellular Automata (NCA) have shown a remarkable ability to learn the required rules to "grow" images, classify morphologies, segment images, as well as to do general computation such as path-finding.
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9 Jun 2017 3 repositories listedIn this paper, we investigate deep image synthesis guided by sketch, color, and texture.
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24 Nov 2016 3 repositories listedGenerative adversarial networks (GANs) are a recent approach to train generative models of data, which have been shown to work particularly well on image data.
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19 Jun 2025 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified · 10 pointer-only (licence)In this report, we present Hunyuan3D 2.
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7 Nov 2023 2 repositories listedIn this work, we explore the challenging problem of recovering garment sewing patterns from daily photos for augmenting these applications.
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25 May 2022 2 repositories listed Syntology ran 2 of 3 samples · 1 unverifiedWe propose to use pretraining to boost general image-to-image translation.
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26 Feb 2022 2 repositories listedUnlike image-space methods, our FeMaSR restores HR images by matching distorted LR image {\it features} to their distortion-free HR counterparts in our pretrained HR priors, and decoding the matched features to obtain…
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3 Apr 2021 2 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedFor improving texture synthesis, we enhance the discriminator of AOT-GAN by training it with a tailored mask-prediction task.
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18 Mar 2021 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)We propose a two-stage model for diverse inpainting, where the first stage generates multiple coarse results each of which has a different structure, and the second stage refines each coarse result separately by…
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10 Nov 2020 2 repositories listedTo this end, we propose a novel conceptual compression framework that encodes visual data into compact structure and texture representations, then decodes in a deep synthesis fashion, aiming to achieve better visual…
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4 Aug 2020 2 repositories listedExperiments show the interest of the multi-scale scheme for high resolution textures and the interest of combining it with additional constraints for regular textures.
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7 Jun 2020 2 repositories listed Syntology ran 3 of 7 samples · 4 unverifiedIn this paper, we propose a novel Texture Transformer Network for Image Super-Resolution (TTSR), in which the LR and Ref images are formulated as queries and keys in a transformer, respectively.
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10 Sep 2016 2 repositories listedRecent work on this problem adopting Convolutional Neural-networks (CNN) ignited a renewed interest in this field, due to the very impressive results obtained.
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4 May 2016 2 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedThis paper presents a significant improvement for the synthesis of texture images using convolutional neural networks (CNNs), making use of constraints on the Fourier spectrum of the results.
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15 Apr 2016 2 repositories listedThis paper proposes Markovian Generative Adversarial Networks (MGANs), a method for training generative neural networks for efficient texture synthesis.
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12 Jun 2025 1 repository listedHowever, these approaches lead to a gradual shift in texture properties across viewpoints due to (1) insufficient integration of previously synthesized textures at each viewpoint during the diffusion process and (2) the…
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29 May 2025 1 repository listedExtensive experiments demonstrate that UniTEX achieves superior visual quality and texture integrity compared to existing approaches, offering a generalizable and scalable solution for automated 3D texture generation.
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7 May 2025 1 repository listedWe introduce TetWeave, a novel isosurface representation for gradient-based mesh optimization that jointly optimizes the placement of a tetrahedral grid used for Marching Tetrahedra and a novel directional signed…
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27 Apr 2025 1 repository listedThis survey is intended as a resource for researchers and developers entering the field of generative AI animation or adjacent fields.
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20 Feb 2025 1 repository listedThis report presents a comprehensive framework for generating high-quality 3D shapes and textures from diverse input prompts, including single images, multi-view images, and text descriptions.
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21 Jan 2025 1 repository listedThis system includes two foundation components: a large-scale shape generation model -- Hunyuan3D-DiT, and a large-scale texture synthesis model -- Hunyuan3D-Paint.
Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections