https://github.com/Lakonik/SSDNeRF
공식 코드Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Papers with Code 아카이브
3D-Aware Image Synthesis
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MrTornado24/FENeRF
공식 코드https://github.com/PeterouZh/CIPS-3D
공식 코드CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis
https://github.com/Xuanmeng-Zhang/MVCGAN
공식 코드Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis
https://github.com/aiart-hdu/sage
공식 코드https://github.com/autonomousvision/graf
공식 코드GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
https://github.com/autonomousvision/voxgraf
공식 코드VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
https://github.com/cpeng93/XraySyn
공식 코드XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
https://github.com/donydchen/sem2nerf
공식 코드Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
https://github.com/genforce/volumegan
공식 코드3D-aware Image Synthesis via Learning Structural and Textural Representations
https://github.com/hexagonprime/pix2nerf
공식 코드Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation
https://github.com/hse1032/Adversarial-Generation-of-Hierarchical-Gaussians-for-3D-Generative-Model
공식 코드GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
https://github.com/justimyhxu/awesome-3d-generation
공식 코드https://github.com/kwanyun/FFaceNeRF
공식 코드https://github.com/marcoamonteiro/pi-GAN
공식 코드pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://github.com/qiuyu96/carver
공식 코드Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
https://github.com/royorel/StyleSDF
공식 코드StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
https://github.com/sheldontsui/gof_neurips2021
공식 코드Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
https://github.com/silence-tang/artnerf
공식 코드ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
https://github.com/tom919654/C3G-NeRF
공식 코드Class-Continuous Conditional Generative Neural Radiance Field
https://github.com/weihaox/awesome-3D-aware-synthesis
공식 코드https://github.com/xingangpan/shadegan
공식 코드A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
https://github.com/zhangqianhui/3DSGAN
공식 코드3D-Aware Semantic-Guided Generative Model for Human Synthesis
https://github.com/Godofnothing/pi-GAN
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://github.com/freemty/urbangiraffe
UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
https://github.com/lucidrains/pi-GAN-pytorch
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://github.com/mrtornado24/ide-3d
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis
https://github.com/primecai/pix2nerf
Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation
https://github.com/universome/epigraf
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.