https://github.com/Animadversio/GAN-Geometry
공식 코드The Geometry of Deep Generative Image Models and its Applications
Papers with Code 아카이브
Image-Variation
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Given an image, generate variations of the image
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dvlab-research/rival
공식 코드Real-World Image Variation by Aligning Diffusion Inversion Chain
https://github.com/shi-labs/prompt-free-diffusion
공식 코드Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
https://github.com/shi-labs/versatile-diffusion
공식 코드Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
https://github.com/toyotaresearchinstitute/remoteppg
공식 코드https://github.com/KLT20/Realtime-Face-Emotion-Recognition
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
https://github.com/PaddlePaddle/PaddleNLP
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
https://github.com/huggingface/diffusers
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
https://github.com/julianjuaner/rival
Real-World Image Variation by Aligning Diffusion Inversion Chain
https://github.com/kaushal-k/Deep-Emotion
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
https://github.com/omarsayed7/Deep-Emotion
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.