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 231–240 of 280 papers

TitleStatusHype
Second-order Democratic Aggregation—0
Texture Mixing by Interpolating Deep Statistics via Gaussian Models—0
Non-Stationary Texture Synthesis by Adversarial ExpansionCode0
Learning the Synthesizability of Dynamic Texture Samples—0
Multiscale Sparse Microcanonical Models—0
Improved Style Transfer by Respecting Inter-layer Correlations—0
“Style” Transfer for Musical Audio Using Multiple Time-Frequency Representations—0
Texture Synthesis with Recurrent Variational Auto-EncoderCode0
On Using Backpropagation for Speech Texture Generation and Voice Conversion—0
Geometry Guided Adversarial Facial Expression Synthesis—0
Show:102550
← PrevPage 24 of 28Next →

No leaderboard results yet.