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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

Showing 1120 of 280 papers

TitleStatusHype
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Pretraining is All You Need for Image-to-Image TranslationCode2
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion PriorsCode2
TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh OptimizationCode2
3DGen: Triplane Latent Diffusion for Textured Mesh GenerationCode2
GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture DetailsCode2
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future DirectionsCode2
CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh GenerationCode2
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
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