https://github.com/thiagoambiel/PortraitStylization
공식 코드Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face Stylization
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/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
https://github.com/tokaka22/gmaa
공식 코드https://github.com/tomlimi/MT-Tokenizer-Bias
공식 코드https://github.com/tongzhou0101/bileve-official
공식 코드Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
https://github.com/tpulkit/txt2vid
공식 코드Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text
https://github.com/tranluan/Nonlinear_Face_3DMM
공식 코드https://github.com/truongvu2000nd/afs
공식 코드https://github.com/tvaranka/fineface
공식 코드Towards Localized Fine-Grained Control for Facial Expression Generation
https://github.com/tvaranka/meb
공식 코드Data Leakage and Evaluation Issues in Micro-Expression Analysis
https://github.com/tyshiwo/FHR_alignment
공식 코드Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
https://github.com/tyshiwo/FSRNet
공식 코드FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
https://github.com/uam-biometrics/FaceQnet
공식 코드FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/uam-biometrics/faceqgen
공식 코드FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
https://github.com/uark-cviu/micron-bert
공식 코드https://github.com/uds-lsv/author-profiling-prevention-bt
공식 코드Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
https://github.com/umgupta/2d-slice-set-networks-for-brain-age
공식 코드https://github.com/unibas-gravis/Occlusion-Robust-MoFA
공식 코드Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation
https://github.com/unibas-gravis/parametric-face-image-generator
공식 코드Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
https://github.com/usef-kh/fer
공식 코드Facial Emotion Recognition: State of the Art Performance on FER2013
https://github.com/usingcolor/latentswap
공식 코드LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping
https://github.com/usmancheema89/SejongFaceDatabase
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.