https://github.com/paarthneekhara/adversarialdeepfakes
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
Papers with Code 아카이브
Video Compression
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Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.
Source: Adversarial Video Compression Guided by Soft Edge Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sakurusurya2000/CNN
Semantic Perceptual Image Compression using Deep Convolution Networks
https://github.com/xinjie-q/ldmic
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
https://github.com/xuyang-liu16/globalcom2
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
https://github.com/yatindandi/Disentangled-Sequential-Autoencoder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.