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Image Manipulation
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Image Manipulation is the process of altering or transforming an existing image to achieve a desired effect or to modify its content. This can involve various techniques and tools to enhance, modify, or create images based on specific requirements.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/quickjkee/eff-diff-edit
공식 코드Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
https://github.com/rinongal/StyleGAN-nada
공식 코드StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
https://github.com/rongyaofang/puma
공식 코드PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
https://github.com/royorel/FFHQ-Aging-Dataset
공식 코드https://github.com/royorel/Lifespan_Age_Transformation_Synthesis
공식 코드https://github.com/saic-mdal/HiDT
공식 코드https://github.com/sandy-zeng/pcl
공식 코드Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
https://github.com/scu-zjz/Mesorch
공식 코드https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/scu-zjz/imdlbenco
공식 코드IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
https://github.com/scu-zjz/sparsevit
공식 코드https://github.com/shi-labs/versatile-diffusion
공식 코드Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
https://github.com/shivangi-aneja/TAFIM
공식 코드TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations
https://github.com/shngjz/wildcamera
공식 코드Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
https://github.com/shuyansy/survey-of-visual-text-processing
공식 코드Visual Text Processing: A Comprehensive Review and Unified Evaluation
https://github.com/shuyansy/visual-text-processing-survey
공식 코드Visual Text Processing: A Comprehensive Review and Unified Evaluation
https://github.com/sled-group/InfEdit
공식 코드https://github.com/sled-group/cyclenet
공식 코드CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
https://github.com/smatsumori/lattegan
공식 코드LatteGAN: Visually Guided Language Attention for Multi-Turn Text-Conditioned Image Manipulation
https://github.com/snailforce/sim-net
공식 코드https://github.com/stepfun-ai/step1x-edit
공식 코드Step1X-Edit: A Practical Framework for General Image Editing
https://github.com/submissionanon18/agg
공식 코드Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
https://github.com/sunnyhaze/iml-vit
공식 코드IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
https://github.com/sunzhihao18/ForgerySleuth
공식 코드ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection
https://github.com/suxinqi/daad
공식 코드DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection
https://github.com/switchablenorms/CelebAMask-HQ
공식 코드MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
https://github.com/taldatech/deep-latent-particles-pytorch
공식 코드Unsupervised Image Representation Learning with Deep Latent Particles
https://github.com/tamarott/SinGAN
공식 코드SinGAN: Learning a Generative Model from a Single Natural Image
https://github.com/tiankaihang/language-guided-animation
공식 코드Language-Guided Face Animation by Recurrent StyleGAN-based Generator
https://github.com/umar07/Image_Forgery_Detection
공식 코드Analysing Statistical methods for Automatic Detection of Image Forgery
https://github.com/vglsd/OpenSESAME
공식 코드SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
https://github.com/vishal3477/proactive_imd
공식 코드https://github.com/wangbing1416/hami-m3d
공식 코드Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
https://github.com/weichaozeng/textctrl
공식 코드TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control
https://github.com/weihaox/awesome-gan-inversion
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.