https://github.com/tae898/age-gender
공식 코드Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
Papers with Code 아카이브
3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/takihasan/arbex
공식 코드ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning
https://github.com/tal-ai/RECLE
공식 코드Representation Learning from Limited Educational Data with Crowdsourced Labels
https://github.com/taldatech/deep-latent-particles-pytorch
공식 코드Unsupervised Image Representation Learning with Deep Latent Particles
https://github.com/talented-q/ifer-master
공식 코드More comprehensive facial inversion for more effective expression recognition
https://github.com/talented-q/poster_v2
공식 코드POSTER++: A simpler and stronger facial expression recognition network
https://github.com/talkingnow/HM-Conformer
공식 코드https://github.com/talreiss/factor
공식 코드https://github.com/tamlhp/dfd_benchmark
공식 코드A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures
https://github.com/taowangzj/llformer
공식 코드Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
https://github.com/tarun360/speakerprofiling
공식 코드Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model
https://github.com/tavihalperin/AV-sync
공식 코드https://github.com/taylor-xy0827/Ada-DF
공식 코드Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition
https://github.com/taylover-pei/SSDG-CVPR2020
공식 코드https://github.com/tesfayz/ccm_madrl_mec
공식 코드https://github.com/teslatasy/popos
공식 코드https://github.com/tfwu/FaceDetection-ConvNet-3D
공식 코드Face Detection with End-to-End Integration of a ConvNet and a 3D Model
https://github.com/thended32/analyzingcombineddegradations
공식 코드Analyzing the Effect of Combined Degradations on Face Recognition
https://github.com/thesouthfrog/stylealign
공식 코드Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
https://github.com/thetna/medical_image_segmentation
공식 코드https://github.com/thiagoambiel/PortraitStylization
공식 코드Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
https://github.com/thinkercache/stylegan2-ada-pytorch
공식 코드High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
https://github.com/thomas-wyh/fuseanypart
공식 코드FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://github.com/thorbenortmann/emohevrdb-sfer
공식 코드https://github.com/thorbenortmann/emoji-hero-vr-database
공식 코드https://github.com/thu-huangzc/FFAA
공식 코드FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
https://github.com/thu-ml/at3d
공식 코드Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
https://github.com/thu-ml/attack-bard
공식 코드https://github.com/tiandunx/FFC
공식 코드An Efficient Training Approach for Very Large Scale Face Recognition
https://github.com/tiandunx/loss_function_search
공식 코드https://github.com/tingfengx/Emoji-Expression-Mask.PyTorch
공식 코드Real-Time Facial Expression Emoji Masking with Convolutional Neural Networks and Homography
https://github.com/tinkoff-ai/probabilistic-embeddings
공식 코드https://github.com/tizfa/tweepfake_deepfake_text_detection
공식 코드https://github.com/tkarras/progressive_growing_of_gans
공식 코드Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/tldrafael/facereconstructionwithvaeandfacemasks
공식 코드Face Reconstruction with Variational Autoencoder and Face Masks
https://github.com/tobuta/PolyGlotFake
공식 코드PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.