https://github.com/tpulkit/txt2vid
공식 코드Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text
Papers with Code 아카이브
Face Generation
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Face generation is the task of generating (or interpolating) new faces from an existing dataset.
The state-of-the-art results for this task are located in the Image Generation parent.
<span style="color:grey; opacity: 0.6">( Image credit: Progressive Growing of GANs for Improved Quality, Stability, and Variation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tvaranka/fineface
공식 코드Towards Localized Fine-Grained Control for Facial Expression Generation
https://github.com/verlab/empowering-sign-language
공식 코드https://github.com/vineetkumarrakesh/thg
공식 코드https://github.com/wangsuzhen/Audio2Head
공식 코드Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
https://github.com/weimengting/magicportrait
공식 코드MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
https://github.com/wi-pi/limitations_of_face_generation
공식 코드https://github.com/winfredy/sadtalker
공식 코드https://github.com/wuhaozhe/style_avatar
공식 코드Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
https://github.com/wuqiuche/micromotion-stylegan
공식 코드https://github.com/wywu/ReenactGAN
공식 코드https://github.com/yerfor/Real3DPortrait
공식 코드Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
https://github.com/yuangan/eat_code
공식 코드Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
https://github.com/yuangan/silencer
공식 코드https://github.com/yuval-alaluf/SAM
공식 코드Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/yylgoodlucky/hdtr
공식 코드https://github.com/zengbohan0217/FNeVR
공식 코드https://github.com/zengbohan0217/fadm
공식 코드https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
https://github.com/zhangqianhui/tt-gnerf
공식 코드https://github.com/zhenglab/ffdbackbone
공식 코드https://github.com/zhichaowang970201/text-to-video
공식 코드Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation
https://github.com/zhuccly/srn
공식 코드Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/ziqihuangg/collaborative-diffusion
공식 코드Collaborative Diffusion for Multi-Modal Face Generation and Editing
https://github.com/zoukaifeng/4dfm
공식 코드https://github.com/zwx8981/adth-qa
공식 코드A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
https://gitlab.com/acit-lausanne/refacing-cgan
공식 코드https://huggingface.co/FoivosPar/Arc2Face
공식 코드https://github.com/1996scarlet/ArcFace-Multiplex-Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/PGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/2023-MindSpore-4/Code1/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2023-MindSpore-4/Code10/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/2024-MindSpore-1/Code4/tree/main/Arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/394781865/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/3P2S/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.