Alternatives and similar repositories for AdAM

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

• kynkaat / role-of-imagenet-classes-in-fid
  The Role of ImageNet Classes in Fréchet Inception Distance
  ☆25Updated 2 years ago
• UCSB-NLP-Chang / DiffusionDisentanglement
  Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
  ☆176Updated last year
• imagic-editing / imagic-editing.github.io
  ☆51Updated last year
• wuyi2020 / DoRM
  [NeurIPS 2023] Official pytorch implementation of "Domain Re-Modulation for Few-Shot Generative Domain Adaption"
  ☆13Updated last year
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated last year
• mkshing / prompt-plus-pytorch
  Implementation of P+: Extended Textual Conditioning in Text-to-Image Generation
  ☆48Updated 2 years ago
• adobe-research / domain-expansion
  Domain Expansion of Image Generators - CVPR23
  ☆89Updated 2 years ago
• genforce / dynamicd
  [NeurIPS 2022] Improving GANs with A Dynamic Discriminator
  ☆64Updated 2 years ago
• UniBester / AGE
  A implementation of Attribute Group Editing for Reliable Few-shot Image Generation (CVPR 2022)
  ☆59Updated 3 years ago
• YBYBZhang / DiFa
  [NeurIPS 2022] Official pytorch implementation of "Towards Diverse and Faithful One-shot Domain Adaption of Generative Adversarial Networ…
  ☆50Updated 2 years ago
• L-YeZhu / BoundaryDiffusion
  [NeurIPS2023] BoundaryDiffusion: A learning-free method for semantic control with Diffusion Models
  ☆39Updated last year
• curryjung / InjectFusion_official
  ☆128Updated last year
• Picsart-AI-Research / IPL-Zero-Shot-Generative-Model-Adaptation
  [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
  ☆83Updated 2 years ago
• KunpengSong / styleganfusion
  ☆80Updated 2 years ago
• genforce / insgen
  [NeurIPS 2021] Data-Efficient Instance Generation from Instance Discrimination
  ☆102Updated 2 years ago
• KumapowerLIU / FFCLIP
  One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations. NeurIPS2022.
  ☆34Updated 2 years ago
• zhangzc21 / Generalized-One-shot-GAN-Adaptation
  ☆61Updated 2 years ago
• zipengxuc / PPE-Pytorch
  Pytorch Implementation for CVPR'2022 paper ✨ "Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pr…
  ☆28Updated 3 years ago
• EzioBy / glead
  [CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
  ☆32Updated 2 years ago
• NullTextforCartoon / NullTextforCartoon
  ☆24Updated last year
• yingchen001 / CF-CLIP
  [ACM MM 2022] Towards Counterfactual Image Manipulation via CLIP
  ☆38Updated 3 years ago
• liujianzhi / EchoReel
  An innovative method designed to augment the capabilities of existing video diffusion models
  ☆22Updated last year
• orpatashnik / local-prompt-mixing
  ☆123Updated last year
• salesforce / DOODL
  ☆69Updated 6 months ago
• yanivnik / sinfusion-code
  ☆110Updated 6 months ago
• zhihengli-UR / StyleT2I
  Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
  ☆42Updated 3 years ago
• ChenWu98 / generative-visual-prompt
  [NeurIPS 2022] (Amortized) distributional control for pre-trained generative models
  ☆121Updated last year
• humansensinglab / cycle-diffusion
  [ICCV 2023] Zero-shot image editing with stochastic diffusion models
  ☆57Updated last year
• StevenShaw1999 / RSSA
  ☆55Updated 3 years ago
• showlab / loveu-tgve-2023
  Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.
  ☆76Updated last year