Papers with Code 아카이브
Image Outpainting
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Predicting the visual context of an image beyond its boundary.
Image credit: NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PengleiGao/UTransformer
공식 코드https://github.com/ShinyCode/image-outpainting
공식 코드https://github.com/akmtn/OmniDreamer
공식 코드Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
https://github.com/etarthur/Outpainting
공식 코드Enhanced Residual Networks for Context-based Image Outpainting
https://github.com/google-research/maskgit
공식 코드https://github.com/julia0607/Wide-Range-Image-Blending
공식 코드https://github.com/kaiseem/queryotr
공식 코드https://github.com/kangliao929/cylin-painting
공식 코드Cylin-Painting: Seamless {360\textdegree} Panoramic Image Outpainting and Beyond
https://github.com/masterhow/fishdreamer
공식 코드FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation
https://github.com/michelleespranita/ct_palette
공식 코드Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
https://github.com/microsoft/nuwa
공식 코드NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
https://github.com/nanjingxiaobawang/SieNet-Image-extrapolation
공식 코드https://github.com/owenzlz/DiverseOutpaint
공식 코드Multimodal Image Outpainting With Regularized Normalized Diversification
https://github.com/sherrylone/pqdiff
공식 코드https://github.com/ucasyjz/VIP
공식 코드VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
https://github.com/wangyxxjtu/ReGO-Pytorch
공식 코드https://github.com/weilunwang/sindiffusion
공식 코드SinDiffusion: Learning a Diffusion Model from a Single Natural Image
https://github.com/z-x-yang/NS-Outpainting
공식 코드https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/HKUNLP/Dream
https://github.com/LAION-AI/phenaki
https://github.com/YvanG/VQGAN-CLIP
https://github.com/alibaba/EasyNLP/tree/master/examples/text2image_generation
https://github.com/alibaba/graph-gpt
https://github.com/basilevh/image-outpainting
Image Outpainting and Harmonization using Generative Adversarial Networks
https://github.com/dome272/MaskGIT-pytorch
https://github.com/dome272/VQGAN
https://github.com/dome272/vqgan-pytorch
https://github.com/hyn2028/llm-cxr
https://github.com/hytxx/image-outpainting-optional-mask
https://github.com/joanrod/ocr-vqgan
https://github.com/joh-fischer/PlantLDM
https://github.com/lucidrains/phenaki-pytorch
https://github.com/lucidrains/soundstorm-pytorch
https://github.com/myscience/open-genie
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.