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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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ymxlzgy/echoscene
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
https://github.com/yuchuanhui/TextureGanPython3
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
https://github.com/zalandoresearch/famos
https://github.com/zubair-irshad/NeRF-MAE
https://github.com/zyddnys/manga-image-translator
Aggregated Contextual Transformations for High-Resolution Image Inpainting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.