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 81–90 of 280 papers

TitleStatusHype
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models—0
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence—0
Graphcut Texture Synthesis for Single-Image Superresolution—0
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation—0
Diversified Texture Synthesis with Feed-forward Networks—0
Disentangled Pose and Appearance Guidance for Multi-Pose Generation—0
Diffusion-based Holistic Texture Rectification and Synthesis—0
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures—0
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control—0
GANosaic: Mosaic Creation with Generative Texture Manifolds—0
Show:102550
← PrevPage 9 of 28Next →

No leaderboard results yet.