https://github.com/apple/ml-mgie
공식 코드Guiding Instruction-based Image Editing via Multimodal Large Language Models
Papers with Code 아카이브
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/arraiyopensource/kornia
공식 코드https://github.com/avivga/style-image-prior
공식 코드Style Generator Inversion for Image Enhancement and Animation
https://github.com/avivga/zerodim
공식 코드An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
https://github.com/budui/Control-Units-in-StyleGAN2
공식 코드Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation
https://github.com/casus/phirm
공식 코드Phenotype-preserving metric design for high-content image reconstruction by generative inpainting
https://github.com/cc-hpc-itwm/facialgan
공식 코드FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces
https://github.com/chenyirui/gim
공식 코드GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
https://github.com/choi403/diffusionguard
공식 코드DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
https://github.com/danielroich/PTI
공식 코드https://github.com/dong03/MVSS-Net
공식 코드Image Manipulation Detection by Multi-View Multi-Scale Supervision
https://github.com/dreamsampler/dream-sampler
공식 코드DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
https://github.com/dvlab-research/Entity
공식 코드https://github.com/edibert4imagemanipulation/edibert
공식 코드https://github.com/eliahuhorwitz/DeepSIM
공식 코드Image Shape Manipulation from a Single Augmented Training Sample
https://github.com/ewrfcas/arci
공식 코드https://github.com/ewrfcas/leftrefill
공식 코드https://github.com/ewrfcas/pgic_inpainting
공식 코드https://github.com/ezioby/padinv
공식 코드https://github.com/facebookresearch/rcdm
공식 코드High Fidelity Visualization of What Your Self-Supervised Representation Knows About
https://github.com/fqnchina/ImageSmoothing
공식 코드https://github.com/genforce/mganprior
공식 코드https://github.com/google-research/maskgit
공식 코드https://github.com/google/tim-gan
공식 코드Text as Neural Operator: Image Manipulation by Text Instruction
https://github.com/gwang-kim/diffusionclip
공식 코드DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
https://github.com/haha-lisa/RDM-Region-Aware-Diffusion-Model
공식 코드Region-Aware Diffusion for Zero-shot Text-driven Image Editing
https://github.com/he-dhamo/simsg
공식 코드https://github.com/hichoe95/Artifact-Detection-and-Sequential-Ablation
공식 코드Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
https://github.com/hila-chefer/Conceptor
공식 코드https://github.com/hongyehu/RG-Flow
공식 코드RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
https://github.com/i2-multimedia-lab/styleprompter
공식 코드https://github.com/idlabmedia/tgif-dataset
공식 코드https://github.com/idt-iti/mmfusion-iml
공식 코드MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
https://github.com/isno0907/localbasis
공식 코드Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
https://github.com/jasontslxd/pqwgan
공식 코드Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation
https://github.com/jianqingzheng/def_diff_rec
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.