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Texture Synthesis
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
TexTailor: Customized Text-aligned Texturing via Effective Resampling
FlexPainter: Flexible and Multi-View Consistent Texture Generation
UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes
MVPainter: Accurate and Detailed 3D Texture Generation via Multi-View Diffusion with Geometric Control
Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control
TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh Optimization
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion
TactStyle: Generating Tactile Textures with Generative AI for Digital Fabrication
Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics
Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers
InsTex: Indoor Scenes Stylized Texture Synthesis
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Dynamic Neural Style Transfer for Artistic Image Generation using VGG19
CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans
DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing
NeRF-Texture: Synthesizing Neural Radiance Field Textures
Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
TEXGen: a Generative Diffusion Model for Mesh Textures
FruitNinja: 3D Object Interior Texture Generation with Gaussian Splatting
Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion
DreamPolish: Domain Score Distillation With Progressive Geometry Generation
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