https://github.com/junyanz/iGAN
공식 코드Generative Visual Manipulation on the Natural Image Manifold
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/kakashiz/nedb-net
공식 코드Noise and Edge Based Dual Branch Image Manipulation Detection
https://github.com/kangyeolk/paint-by-sketch
공식 코드Reference-based Image Composition with Sketch via Structure-aware Diffusion Model
https://github.com/knightzjz/ncl-iml
공식 코드https://github.com/kornia/kornia
공식 코드Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/kritiksoman/GIMP-ML
공식 코드GIMP-ML: Python Plugins for using Computer Vision Models in GIMP
https://github.com/kuai-lab/sound-guided-semantic-image-manipulation
공식 코드https://github.com/kumapowerliu/ffclip
공식 코드One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
https://github.com/kunheek/style-aware-discriminator
공식 코드A Style-aware Discriminator for Controllable Image Translation
https://github.com/kwonminki/Asyrp_official
공식 코드https://github.com/lalithbharadwajbaru/wavelet-clip
공식 코드Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
https://github.com/leongatys/NeuralImageSynthesis
공식 코드https://github.com/lilyli2004/satire
공식 코드A Multi-Modal Method for Satire Detection using Textual and Visual Cues
https://github.com/liuziyu77/visual-rft
공식 코드https://github.com/lorisnanni/feature-transforms-for-image-data-augmentation
공식 코드https://github.com/lxbuaa/urn
공식 코드Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement
https://github.com/lychenyoko/content-aware-gan-compression
공식 코드https://github.com/mahmoudnafifi/WB_color_augmenter
공식 코드https://github.com/mchong6/SOAT
공식 코드StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
https://github.com/misaliet/seamless-satellite-image-synthesis
공식 코드https://github.com/mjkwon2021/cat-net
공식 코드Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
https://github.com/mrlibw/ManiGAN
공식 코드https://github.com/msu-video-group/msu_vqm_compression_benchmark
공식 코드AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
https://github.com/nannanli999/airr
공식 코드Supervised Attribute Information Removal and Reconstruction for Image Manipulation
https://github.com/naver-ai/StyleMapGAN
공식 코드Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
https://github.com/omeregev/click2mask
공식 코드https://github.com/omertov/encoder4editing
공식 코드https://github.com/orpatashnik/StyleCLIP
공식 코드https://github.com/palandr123/diffusionu-netllm
공식 코드LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps
https://github.com/pfilo8/flow-plugin-network-for-conditional-generation
공식 코드https://github.com/pkorus/neural-imaging
공식 코드https://github.com/polimi-ispl/western-blot-synthetic-manipulation-localization
공식 코드Localization of Synthetic Manipulations in Western Blot Images
https://github.com/poloclub/clickdiffusion
공식 코드ClickDiffusion: Harnessing LLMs for Interactive Precise Image Editing
https://github.com/prash29/lager
공식 코드https://github.com/prclibo/ice
공식 코드https://github.com/proteus1991/pscc-net
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.