Arc2Face: A Foundation Model for ID-Consistent Human Faces
Mar 14, 2024 · This is the official implementation of Arc2Face, an ID-conditioned face model: that generates high-quality images of any subject given only its ArcFace embedding, within a few …
FoivosPar/Arc2Face · Datasets at Hugging Face
This is the dataset used in Arc2Face: A Foundation Model of Human Faces (ECCV 2024). This dataset consists of approximately 21M facial images from 1M identities at a resolution of …
Deep RL Course - Hugging Face
Reinforcement learning from human feedback (RLHF) is a methodology for integrating human data labels into a RL-based optimization process. It is motivated by the challenge of modeling …
tukey/human_face_emotions_roboflow · Datasets at Hugging Face
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Arc2Face: A Foundation Model for ID-Consistent Human Faces
This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an …
Arc2Face: A Foundation Model for ID-Consistent Human Faces
Mar 18, 2024 · This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images …
Finetuning an LLM: RLHF and alternatives (Part III) - Medium
Oct 15, 2024 · DPO solves the constrained reward maximization problem by treating it as a classification problem on human preference data. The algorithm is stable, efficient, and …
LFW Face Database : Main - UMass
Nov 15, 2007 · Labeled Faces in the Wild is a public benchmark for face verification, also known as pair matching. ... which deliberately selects 3000 similarly-looking face pairs within original …
Illustrating Reinforcement Learning from Human Feedback (RLHF)
Dec 9, 2022 · Reinforcement learning from Human Feedback (also referenced as RL from human preferences) is a challenging concept because it involves a multiple-model training process …
AI-Synthesized Human Face Dataset ‒ MMSPG ‐ EPFL
Recent studies have devoted significant efforts to address the problem of face image manipulation caused by deepfake techniques. However, the problem of detecting purely synthesized face …