https://github.com/HDCVLab/EDFace-Celeb-1M
공식 코드EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Papers with Code 아카이브
Face Hallucination
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 4
Face hallucination is the task of generating high-resolution (HR) facial images from low-resolution (LR) inputs.
<span style="color:grey; opacity: 0.6">( Image credit: Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Lotayou/Face-Renovation
공식 코드HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/adamian98/pulse
공식 코드PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/junjun-jiang/Face-Hallucination-Benchmark
공식 코드https://github.com/junjun-jiang/TLcR-RL
공식 코드https://github.com/mdswyz/SISN-Face-Hallucination
공식 코드Face Hallucination via Split-Attention in Split-Attention Network
https://github.com/sam575/axial-gan
공식 코드https://github.com/xinntao/ESRGAN
공식 코드ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/yuangan/VidFace
공식 코드VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/2023-MindSpore-4/Code-5/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/2023-MindSpore-4/Code11/tree/main/SRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/2023-MindSpore-4/Code7/tree/main/SRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Aal-Izz-Well/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/AnjanaGJoseph/Super-Resolution-GAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/BearNinja123/esrGAN_vBearNinja123
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/CorentinMAG/SRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Dictator890/ESRGAN-Android-Demo
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/FirstPotatoMan/TensorflowJS_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Gowti-AiboT/GAN-based-SISR-Keras
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/HyeongJu916/Boaz-SR-ESRGAN-PyTorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Lornatang/ESRGAN-PyTorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/Martion-z/Paddle-PULSE
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Martion-z/pytorch-Pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Mind23-2/MindCode-174
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/Mind23-2/MindCode-3/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/MindSpore-paper-code-3/code4/tree/main/HiFaceGAN
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
https://github.com/Pulkitdzrt/ML-Image-Super-Resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/RezisEwig/esrgan
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/YanyingZH/srgan-esrgan-pytorch
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/YvanG/VQGAN-CLIP
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/ZoieMo/Multi-task
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
https://github.com/aba450/Super-Resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/alililia/ascend_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/allenai/satlas-super-resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/amogh7joshi/media-vision
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.