Papers with Code 아카이브
Facial Editing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach
FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing
Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
SegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing
Mitigating the Impact of Attribute Editing on Face Recognition
A Generalist FaceX via Learning Unified Facial Representation
E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
Robust Sequential DeepFake Detection
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos
CHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue
Detecting and Recovering Sequential DeepFake Manipulation
Semantic Unfolding of StyleGAN Latent Space
Video2StyleGAN: Disentangling Local and Global Variations in a Video
One-Shot Face Reenactment on Megapixels
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
Stitch it in Time: GAN-Based Facial Editing of Real Videos
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Talk-to-Edit: Fine-Grained Facial Editing via Dialog
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
Pivotal Tuning for Latent-based Editing of Real Images
Exemplar-based Generative Facial Editing
Self-supervised Deformation Modeling for Facial Expression Editing
Facelet-Bank for Fast Portrait Manipulation
Neural Face Editing with Intrinsic Image Disentangling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.