https://github.com/minivision-ai/photo2cartoon
공식 코드Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
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/mireillefares/vaanimation
공식 코드Transformer Network for Semantically-Aware and Speech-Driven Upper-Face Generation
https://github.com/miu200521358/NeuralVoicePuppetryMMD
공식 코드https://github.com/mk-minchul/dcface
공식 코드DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
https://github.com/mkocaoglu/CausalGAN
공식 코드CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
https://github.com/onion-liu/BlendGAN
공식 코드BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
https://github.com/open-debin/mm2latent
공식 코드MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
https://github.com/oppo-mente-lab/facescore
공식 코드FaceScore: Benchmarking and Enhancing Face Quality in Human Generation
https://github.com/pegahs1993/whisper-afe-talkingheadsgen
공식 코드Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
https://github.com/pfilo8/flow-plugin-network-for-conditional-generation
공식 코드https://github.com/prclibo/ice
공식 코드https://github.com/renderme-360/renderme-360
공식 코드RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
https://github.com/royorel/FFHQ-Aging-Dataset
공식 코드https://github.com/royorel/Lifespan_Age_Transformation_Synthesis
공식 코드https://github.com/royorel/StyleSDF
공식 코드StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation
https://github.com/ry85/Stochastic-Talking-Face-Generation-Using-Latent-Distribution-Matching
공식 코드Stochastic Talking Face Generation Using Latent Distribution Matching
https://github.com/sahilg06/EmoGen
공식 코드https://github.com/saic-violet/bilayer-model
공식 코드Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
https://github.com/searecluse/cvprw2024
공식 코드https://github.com/seasonSH/LiftedGAN
공식 코드https://github.com/semchan/HyperLips
공식 코드HyperLips: Hyper Control Lips with High Resolution Decoder for Talking Face Generation
https://github.com/silence-tang/artnerf
공식 코드ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
https://github.com/socialabubi/iFakeFaceDB
공식 코드GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
https://github.com/sowwnn/KFusion-Dual-Domain-for-Speech-to-Landmarks
공식 코드KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation
https://github.com/sstzal/DFRF
공식 코드Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
https://github.com/sstzal/DiffTalk
공식 코드DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
https://github.com/stephenivy07/Landmarkgan
공식 코드https://github.com/susanqq/Talking_Face_Generation
공식 코드Talking Face Generation by Conditional Recurrent Adversarial Network
https://github.com/sxjdwang/talklip
공식 코드Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
https://github.com/sxl142/tex-face
공식 코드Controllable 3D Face Generation with Conditional Style Code Diffusion
https://github.com/szlbiubiubiu/CemiFace
공식 코드CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
https://github.com/tavihalperin/AV-sync
공식 코드https://github.com/thinkercache/stylegan2-ada-pytorch
공식 코드High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.