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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

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Showing 61–70 of 280 papers

TitleStatusHype
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image—0
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture—0
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling—0
GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture DetailsCode2
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis—0
DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D GenerationCode2
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement—0
NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata—0
Garment3DGen: 3D Garment Stylization and Texture GenerationCode2
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