Alternatives and similar repositories for 3d_photo_stylization:

Users that are interested in 3d_photo_stylization are comparing it to the libraries listed below

• IGLICT / NeRFFaceLighting
  [TOG'23] NeRFFaceLighting: Implicit and Disentangled Face Lighting Representation Leveraging Generative Prior in Neural Radiance Fields
  ☆84Updated 4 months ago
• Xuanmeng-Zhang / MVCGAN
  [CVPR2022] Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis
  ☆100Updated 2 years ago
• NIRVANALAN / CVPR23-E3DGE
  [CVPR 2023] E3DGE: An encoder-based 3D StyleGAN inversion framework.
  ☆145Updated last year
• jiaxinxie97 / HFGI3D
  ☆204Updated 9 months ago
• simon3dv / SLR-SFS
  Code release for the paper "Simulating Fluids in Real-World Still Images"
  ☆112Updated last year
• halfjoe / 3D-Portrait-Stylization
  Official code for paper "Exemplar Based 3D Portrait Stylization".
  ☆74Updated 2 years ago
• rockeyben / DCCF
  Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization (ECCV 22)
  ☆49Updated last year
• semchan / UPST-NeRF
  code for UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene
  ☆68Updated 2 years ago
• microsoft / GRAM
  GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation (CVPR 2022 Oral)
  ☆188Updated 2 years ago
• JuewenPeng / BokehMe
  BokehMe: When Neural Rendering Meets Classical Rendering (CVPR 2022 Oral)
  ☆199Updated 2 years ago
• andrewhou1 / GeomConsistentFR
  Official Code for Face Relighting with Geometrically Consistent Shadows (CVPR 2022)
  ☆129Updated 9 months ago
• oneThousand1000 / Facial-Structure-Editing-of-Portrait-Images-via-Latent-Space-Classifications
  (SIGGRAPH 2021) Coarse-to-Fine: Facial Structure Editing of Portrait Images via Latent Space Classifications.
  ☆58Updated last year
• genforce / volumegan
  CVPR 2022 VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations
  ☆128Updated 2 years ago
• ken-ouyang / PGMPI
  The implementation of Real-Time Neural Character Rendering with Pose-Guided Multiplane Images
  ☆56Updated 2 years ago
• IGLICT / StylizedNeRF
  [CVPR 2022] Code for StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D mutual learning
  ☆146Updated 2 years ago
• XingangPan / ShadeGAN
  Code for ShadeGAN (NeurIPS2021)
  ☆145Updated 2 years ago
• xch-liu / learning-warp-st
  Learning to Warp for Style Transfer
  ☆35Updated 2 years ago
• jgkwak95 / SURF-GAN
  [ECCV 2022] Official Pytorch implementation of "Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Imag…
  ☆125Updated 2 years ago
• lisiyao21 / AnimeRun
  API for AnimeRun dataset
  ☆86Updated last year
• yzliu567 / sc-gan
  ☆37Updated 2 years ago
• genforce / StyleSV
  [ICLR 2023] Towards Smooth Video Composition
  ☆83Updated last year
• jiangyzy / GOAE
  [ICCV 2023] Official implementation of "Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding" in In…
  ☆87Updated 10 months ago
• oneThousand1000 / LPFF-dataset
  (ICCV2023) A large-pose Flickr face dataset comprised of 19,590 high-quality real large-pose portrait images.
  ☆75Updated last year
• xingyi-li / 3d-cinemagraphy
  [CVPR 2023] 3D Cinemagraphy from a Single Image
  ☆276Updated 10 months ago
• oneThousand1000 / coarse-to-fine-chin-editing
  double-chin-dataset is a high-quality image dataset of double chin removal, based on StyleGAN.
  ☆34Updated last year
• sherwinbahmani / 3dvideogeneration
  3D-Aware Video Generation
  ☆76Updated 2 years ago
• MrTornado24 / FENeRF
  [CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields
  ☆229Updated 2 years ago
• Huage001 / DynaST
  Pytorch implementation of paper "DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation", ECCV 2022.
  ☆54Updated 2 years ago
• JialeTao / DAM
  [CVPR 2022] Structure-Aware Motion Transfer with Deformable Anchor Model
  ☆96Updated last year
• wentianli / awesome-3d-photography
  A paper list of 3D photography and cinemagraph.
  ☆37Updated 8 months ago