https://github.com/ergastialex/ldm-diffusion-sem
공식 코드Controllable Face Synthesis with Semantic Latent Diffusion Models
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/ergastialex/sca-dm
공식 코드Controllable Face Synthesis with Semantic Latent Diffusion Models
https://github.com/faniamokhayeri/C-GAN
공식 코드https://github.com/faniamokhayeri/DSFS
공식 코드Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
https://github.com/fedenoce/s2l-s2d
공식 코드Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
https://github.com/flyingby/awesome-deepfake-generation-and-detection
공식 코드https://github.com/fodark/anonygan
공식 코드Graph-based Generative Face Anonymisation with Pose Preservation
https://github.com/fuxivirtualhuman/styletalk
공식 코드StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
https://github.com/g-milis/NEUTART
공식 코드https://github.com/guillermogotre/cusp
공식 코드https://github.com/haibo-qiu/SynFace
공식 코드https://github.com/hanbo-cheng/dawn-pytorch
공식 코드https://github.com/happy-jihye/Cartoon-StyleGan2
공식 코드https://github.com/harlanhong/actalker
공식 코드https://github.com/harlanhong/cvpr2022-dagan
공식 코드Depth-Aware Generative Adversarial Network for Talking Head Video Generation
https://github.com/harlanhong/iccv2023-mcnet
공식 코드https://github.com/hengruilou/deepfacegen
공식 코드A Large-scale Universal Evaluation Benchmark For Face Forgery Detection
https://github.com/huage001/dynast
공식 코드DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
https://github.com/huitailangyz/AFGAN
공식 코드Attributes Aware Face Generation with Generative Adversarial Networks
https://github.com/hwang1996/3D-Cartoon-Face-Generation
공식 코드3D Cartoon Face Generation with Controllable Expressions from a Single GAN Image
https://github.com/imatge-upc/wav2pix
공식 코드Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
https://github.com/jenine-321/mfclip
공식 코드MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/kangyeolk/animeceleb
공식 코드AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
https://github.com/kwanyun/FFaceNeRF
공식 코드https://github.com/kwanyun/LeGO_code
공식 코드https://github.com/lattas/avatarme
공식 코드AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"
https://github.com/lelechen63/Talking-head-Generation-with-Rhythmic-Head-Motion
공식 코드https://github.com/lelechen63/talking-head-generation-survey
공식 코드What comprises a good talking-head video generation?: A Survey and Benchmark
https://github.com/lissomx/MSP
공식 코드Latent Space Factorisation and Manipulation via Matrix Subspace Projection
https://github.com/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
https://github.com/liuyvchi/mie-x
공식 코드How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
https://github.com/louisbearing/hmo-audio
공식 코드A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation
https://github.com/louisbearing/unconditionalheadmotion
공식 코드Autoregressive GAN for Semantic Unconditional Head Motion Generation
https://github.com/megvii-research/MM2022-ViCoPerceptualHeadGeneration
공식 코드Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer
https://github.com/miccunifi/EmoVOCA
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.