https://github.com/ControlNet/MARLIN
공식 코드MARLIN: Masked Autoencoder for facial video Representation LearnINg
Papers with Code 아카이브
Talking Head Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 7
- 보존된 평가 기록
- 15
Talking head generation is the task of generating a talking face from a set of images of a person.
<span style="color:grey; opacity: 0.6">( Image credit: Few-Shot Adversarial Learning of Realistic Neural Talking Head Models )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Fictionarry/InsTaG
공식 코드InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
https://github.com/FuxiVirtualHuman/Write-a-Speaker
공식 코드Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
https://github.com/Jia1018/GoHD
공식 코드https://github.com/JianZhang-chick/EMOdiffhead
공식 코드EMOdiffhead: Continuously Emotional Control in Talking Head Generation via Diffusion
https://github.com/KU-CVLAB/MoDiTalker
공식 코드MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
https://github.com/Meta-Portrait/MetaPortrait
공식 코드MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
https://github.com/Rudrabha/LipGAN
공식 코드https://github.com/Rudrabha/Wav2Lip
공식 코드A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
https://github.com/ZiqiaoPeng/SyncTalk
공식 코드SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis
https://github.com/ali-vilab/dreamtalk
공식 코드DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models
https://github.com/deepbrainai-research/koeba
공식 코드https://github.com/ditzley/joint-gestures-and-face
공식 코드Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters
https://github.com/fedenoce/s2l-s2d
공식 코드Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
https://github.com/fuxivirtualhuman/styletalk
공식 코드StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles
https://github.com/hanbo-cheng/dawn-pytorch
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/kangyeolk/animeceleb
공식 코드AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
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/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
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 코드https://github.com/miu200521358/NeuralVoicePuppetryMMD
공식 코드https://github.com/pegahs1993/whisper-afe-talkingheadsgen
공식 코드Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis
https://github.com/renderme-360/renderme-360
공식 코드RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
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/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head 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/tpulkit/txt2vid
공식 코드Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.