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 141–150 of 280 papers

TitleStatusHype
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models—0
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer—0
TexPro: Text-guided PBR Texturing with Procedural Material Modeling—0
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization—0
Text-Driven Diverse Facial Texture Generation via Progressive Latent-Space Refinement—0
Text-to-3D Generation with Bidirectional Diffusion using both 2D and 3D priors—0
Text-to-3D with Classifier Score Distillation—0
TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion—0
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations—0
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers—0
Show:102550
← PrevPage 15 of 28Next →

No leaderboard results yet.