https://github.com/nchinaev/MobileFace
공식 코드MobileFace: 3D Face Reconstruction with Efficient CNN Regression
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MobileFace: 3D Face Reconstruction with Efficient CNN Regression
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement
SimSwap: An Efficient Framework For High Fidelity Face Swapping
Distributional Policy Optimization: An Alternative Approach for Continuous Control
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A Framework for Event-based Computer Vision on a Mobile Device
Continuous descriptor-based control for deep audio synthesis
Moving Window Regression: A Novel Approach to Ordinal Regression
EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
AfriHuBERT: A self-supervised speech representation model for African languages
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
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ClipUp: A Simple and Powerful Optimizer for Distribution-based Policy Evolution
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Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.