Alternatives and similar repositories for arshadowgan-like

Users that are interested in arshadowgan-like are comparing it to the libraries listed below

• ldq9526 / ARShadowGAN
  ☆70Updated 5 years ago
• junleen / RainNet
  [CVPR 2021] Region-aware Adaptive Instance Normalization for Image Harmonization
  ☆183Updated 4 years ago
• VITA-Group / SSHarmonization
  [ICCV'2021] "SSH: A Self-Supervised Framework for Image Harmonization", Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalya…
  ☆102Updated 2 years ago
• nihalsid / deepfillv2-pylightning
  Clean minimal implementation of Free-Form Image Inpainting with Gated Convolutions in pytorch lightning. Inspired from pytorch implementa…
  ☆13Updated 2 years ago
• pkuanjie / StyleNAS
  Official pytorch implementation of the paper: "Ultrafast Photorealistic Style Transfer via Neural Architecture Search"
  ☆72Updated 5 years ago
• tamarott / ASAPNet
  ☆126Updated 4 years ago
• julia0607 / Wide-Range-Image-Blending
  ☆72Updated 2 years ago
• WangLiwen1994 / DeepRelight
  Deep Relighting Network for Image Light Source Manipulation
  ☆89Updated 4 years ago
• vinthony / s2am
  [TIP 2020] Improving the Harmony of the Composite Image by Spatial-Separated Attention Module
  ☆59Updated 2 years ago
• snap-research / CAT
  [CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
  ☆181Updated 3 years ago
• KumapowerLIU / DeFLOCNet
  The official pytorch code of DeFLOCNet: Deep Image Editing via Flexible Low-level Controls (CVPR2021)
  ☆47Updated 2 years ago
• ssarfraz / SPL
  Spatial Profile Loss for Image Translations
  ☆71Updated 4 years ago
• mahmoudnafifi / color-aware-style-transfer
  Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.
  ☆47Updated 2 years ago
• rlct1 / gin
  AIM2020 ECCV Extreme Image Inpainting Track 1 Classic
  ☆42Updated 4 years ago
• yzhouas / TransFill-Reference-Inpainting
  This is the official repo for TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations at CVPR…
  ☆99Updated 4 years ago
• nowsyn / SIM
  Official repository of Semantic Image Matting
  ☆226Updated 2 years ago
• duxingren14 / Hifill-tensorflow
  Tensorflow reimplementation of Hifill
  ☆42Updated 4 years ago
• shoutOutYangJie / Morph-UGATIT
  a morph transfer UGATIT for image translation.
  ☆61Updated 4 years ago
• bcmi / BargainNet-Image-Harmonization
  BargainNet: Background-Guided Domain Translation for Image Harmonization. Useful for Image harmonization, image composition, etc.
  ☆76Updated 3 months ago
• AnatoliiPotapov / inpainting_FRRN
  Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)
  ☆30Updated 2 years ago
• SayedNadim / Global-and-Local-Attention-Based-Free-Form-Image-Inpainting
  Official implementation of "Global and local attention-based free-form image inpainting"
  ☆59Updated 3 years ago
• affromero / NTIRE22_Inpainting
  NTIRE 2022 - Image Inpainting Challenge
  ☆48Updated 3 years ago
• Ha0Tang / Guided-I2I-Translation-Papers
  Guided Image-to-Image Translation Papers
  ☆136Updated 5 years ago
• vietnamican / HAttMatting
  ☆28Updated 3 years ago
• HGLiu1998 / GAN-inversion
  Image2StyleGAN and Image2StyleGAN++ implementation
  ☆28Updated 4 years ago
• zengxianyu / co-mod-gan-pytorch
  pytorch implementation of the paper ``Large Scale Image Completion via Co-Modulated Generative Adversarial Networks"
  ☆57Updated 3 years ago
• cpuimage / CelebAHairMask-HQ
  A large-scale face dataset for hair segmentation, hair recognition, and GANs for hair generation and editing.
  ☆86Updated 5 months ago
• Tengfei-Wang / external-internal-inpainting
  [CVPR 2021] EII: Image Inpainting with External-Internal Learning and Monochromic Bottleneck
  ☆108Updated 2 years ago
• YaN9-Y / lafin
  LaFIn: Generative Landmark Guided Face Inpainting
  ☆154Updated last year
• hqqxyy / Context-Aware-Matting
  The project is the inference implementation of our ICCV2019 paper "Context-aware Image Matting for Simultaneous Foreground and Alpha Esti…
  ☆133Updated last year