3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 3
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vladhondru25/exddv
공식 코드ExDDV: A New Dataset for Explainable Deepfake Detection in Video
https://github.com/vmartinezalvarez/DyNODE
공식 코드DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
https://github.com/voot-t/guide-actor-critic
공식 코드https://github.com/vprlab/iexam
공식 코드iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
https://github.com/vpsg-research/waveguard
공식 코드https://github.com/vrkh1996/IPU-Net
공식 코드https://github.com/vroulet/ilqc
공식 코드https://github.com/vsamuel2003/cie
공식 코드CIE: Controlling Language Model Text Generations Using Continuous Signals
https://github.com/vsingh-group/LCODEC-deep-unlearning
공식 코드Deep Unlearning via Randomized Conditionally Independent Hessians
https://github.com/vuvko/fitw2020
공식 코드Achieving Better Kinship Recognition Through Better Baseline
https://github.com/vvictoryuki/freedom
공식 코드FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/rpo_continuous_action.py
공식 코드https://github.com/wadx2019/qvpo
공식 코드Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
https://github.com/wadx2019/rpo
공식 코드Reduced Policy Optimization for Continuous Control with Hard Constraints
https://github.com/wagner-niklas/cage_expression_inference
공식 코드https://github.com/wang-zidu/3ddfa-v3
공식 코드3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
https://github.com/wang-zidu/s2td-face
공식 코드S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
https://github.com/wangbx66/Action-Subspace-Dependent
공식 코드https://github.com/wangjk666/M2TR-Multi-modal-Multi-scale-Transformers-for-Deepfake-Detection
공식 코드M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
https://github.com/wangsuzhen/Audio2Head
공식 코드Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
https://github.com/wangty1/DCPT
공식 코드Deep Convolutional Pooling Transformer for Deepfake Detection
https://github.com/wangty1/LampMark
공식 코드LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
https://github.com/wangxuan2401/3dfacerecon
공식 코드https://github.com/wangyanckxx/surveyfer
공식 코드A Survey on Facial Expression Recognition of Static and Dynamic Emotions
https://github.com/wangzhifengharrison/htnet
공식 코드https://github.com/wangzhuo2019/ssan
공식 코드Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
https://github.com/wasim004/FAME
공식 코드FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
https://github.com/wbteng9526/mtut_fr
공식 코드https://github.com/weiguangzhao/df_mvr
공식 코드From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
https://github.com/weihaox/TediGAN
공식 코드TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
https://github.com/weimengting/magicportrait
공식 코드MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
https://github.com/wentianzhang-ml/frt-pad
공식 코드FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
https://github.com/wenzhengzeng/mpeblink
공식 코드Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
https://github.com/wertyuilife2/bmpc
공식 코드https://github.com/wholebody3d/wholebody3d
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.