Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/thinkercache/stylegan2-ada-pytorch

공식 코드

High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data

https://github.com/thomas-wyh/fuseanypart

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FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images

https://github.com/thorbenortmann/emohevrdb-sfer

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Unimodal and Multimodal Static Facial Expression Recognition for Virtual Reality Users with EmoHeVRDB

https://github.com/thorbenortmann/emoji-hero-vr-database

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EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted Displays

https://github.com/thu-huangzc/FFAA

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FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant

https://github.com/thu-ml/at3d

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Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

https://github.com/thu-ml/attack-bard

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How Robust is Google's Bard to Adversarial Image Attacks?

https://github.com/thu-ml/efficient-diffusion-alignment

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Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

https://github.com/tiandunx/FFC

공식 코드

An Efficient Training Approach for Very Large Scale Face Recognition

https://github.com/tiandunx/loss_function_search

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Loss Function Search for Face Recognition

https://github.com/tianheyu927/mopo

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MOPO: Model-based Offline Policy Optimization

https://github.com/tingfengx/Emoji-Expression-Mask.PyTorch

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Real-Time Facial Expression Emoji Masking with Convolutional Neural Networks and Homography

https://github.com/tinkoff-ai/probabilistic-embeddings

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Probabilistic Embeddings Revisited

https://github.com/tizfa/tweepfake_deepfake_text_detection

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TweepFake: about Detecting Deepfake Tweets

https://github.com/tkarras/progressive_growing_of_gans

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

https://github.com/tkipf/compile

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CompILE: Compositional Imitation Learning and Execution

https://github.com/tldrafael/facereconstructionwithvaeandfacemasks

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Face Reconstruction with Variational Autoencoder and Face Masks

https://github.com/tnresearch/forlorn

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FORLORN: A Framework for Comparing Offline Methods and Reinforcement Learning for Optimization of RAN Parameters

https://github.com/tobiabir/hambo

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Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

https://github.com/tobuta/PolyGlotFake

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PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset

https://github.com/tokaka22/gmaa

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Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

https://github.com/tomlimi/MT-Tokenizer-Bias

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Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation

https://github.com/tongzhou0101/bileve-official

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Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature

https://github.com/tpulkit/txt2vid

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Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text

https://github.com/tranluan/Nonlinear_Face_3DMM

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Nonlinear 3D Face Morphable Model

https://github.com/trevormcinroe/pixelbrax

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PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU

https://github.com/truongvu2000nd/afs

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Face Swapping as A Simple Arithmetic Operation

https://github.com/trzhang0116/HRAC

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Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

https://github.com/tseyde/decqn

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Solving Continuous Control via Q-learning

https://github.com/tvaranka/fineface

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Towards Localized Fine-Grained Control for Facial Expression Generation

https://github.com/tvaranka/meb

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Data Leakage and Evaluation Issues in Micro-Expression Analysis

https://github.com/tyq1024/rlx2

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RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch

https://github.com/tyshiwo/FHR_alignment

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Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos

https://github.com/tyshiwo/FSRNet

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FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

https://github.com/uam-biometrics/FaceQnet

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FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

https://github.com/uam-biometrics/faceqgen

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FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

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