https://github.com/shermanlian/swrn
공식 코드Sliding Window Recurrent Network for Efficient Video Super-Resolution
Papers with Code 아카이브
3D Face Animation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image: Cudeiro et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shivangi-aneja/FaceTalk
공식 코드FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
https://github.com/sichun233746/motif
공식 코드https://github.com/sjtu-lucy/emoface
공식 코드https://github.com/stability-ai/generative-models
공식 코드Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
https://github.com/subin-kim-cv/NVP
공식 코드Scalable Neural Video Representations with Learnable Positional Features
https://github.com/tang1705/seeclear-neurips24
공식 코드SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
https://github.com/tencentarc/animesr
공식 코드AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
https://github.com/tencentarc/fastrealvsr
공식 코드Mitigating Artifacts in Real-World Video Super-Resolution Models
https://github.com/thunil/TecoGAN
공식 코드Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/tianyuan168326/SelfC
공식 코드https://github.com/uuembodiedsocialai/FaceDiffuser
공식 코드FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/w-shuoyan/evenhancer
공식 코드https://github.com/wuhaozhe/audio2face_mm2023
공식 코드Speech-Driven 3D Face Animation with Composite and Regional Facial Movements
https://github.com/xiaogang00/dp3df
공식 코드https://github.com/xinntao/EDVR
공식 코드EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/xinntao/ESRGAN
공식 코드ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/xinntao/Real-ESRGAN
공식 코드Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
https://github.com/xpixelgroup/rethinkvsralignment
공식 코드https://github.com/xtudbxk/tmp
공식 코드TMP: Temporal Motion Propagation for Online Video Super-Resolution
https://github.com/xy-boy/blind-satellite-vsr
공식 코드https://github.com/xy-boy/lgtd
공식 코드Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
https://github.com/xy-boy/tdmvsr
공식 코드Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
https://github.com/yangzhou12/ncrl
공식 코드None Class Ranking Loss for Document-Level Relation Extraction
https://github.com/yhw-yhw/talkshow
공식 코드https://github.com/yiranran/Audio-driven-TalkingFace-HeadPose
공식 코드Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
https://github.com/yuehan717/realviformer
공식 코드RealViformer: Investigating Attention for Real-World Video Super-Resolution
https://github.com/yuezijie/stinet-space-time-video-super-resolution
공식 코드Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
https://github.com/yumingj/C2-Matching
공식 코드Reference-based Image and Video Super-Resolution via C2-Matching
https://github.com/yunfanLu/INR-Event-VSR
공식 코드Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
https://github.com/yunfanlu/hr-inr
공식 코드HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera
https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
https://github.com/zhengchen1999/dove
공식 코드DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
https://github.com/zj-binxia/ssl
공식 코드Structured Sparsity Learning for Efficient Video Super-Resolution
https://github.com/zmzhang1998/Real-RawVSR
공식 코드Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.