Papers Facial Editing
“Facial Editing” 태그가 달린 논문 29편 · 필터 해제
SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models
Diffusion models have recently enabled precise and photorealistic facial editing across a wide range of semantic attributes. Beyond single-step modifications, a growing class of applications now demands the ability to an…
AttributeFacial EditingDynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability
Recent advancements in text-to-image generation have spurred interest in personalized human image generation, which aims to create novel images featuring specific human identities as reference images indicate. Although e…
Contrastive LearningFacial EditingImage GenerationText to Image Generation+1Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach
Face parsing is a fundamental task in computer vision, enabling applications such as identity verification, facial editing, and controllable image synthesis. However, existing face parsing models often lack fairness and …
Face GenerationFace ParsingFacial EditingFairness+2FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing
Existing facial editing methods have achieved remarkable results, yet they often fall short in supporting multimodal conditional local facial editing. One of the significant evidences is that their output image quality d…
AttributeFacial EditingEditable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
Real-time computer vision (CV) plays a crucial role in various real-world applications, whose performance is highly dependent on communication networks. Nonetheless, the data-oriented characteristics of conventional comm…
Facial EditingSemantic CommunicationSegTalker: Segmentation-based Talking Face Generation with Mask-guided Local Editing
Audio-driven talking face generation aims to synthesize video with lip movements synchronized to input audio. However, current generative techniques face challenges in preserving intricate regional textures (skin, teeth)…
Face GenerationFacial EditingSegmentationTalking Face GenerationMitigating the Impact of Attribute Editing on Face Recognition
Through a large-scale study over diverse face images, we show that facial attribute editing using modern generative AI models can severely degrade automated face recognition systems. This degradation persists even with i…
AttributeFace RecognitionFacial EditingQuestion Answering+23D-Aware Face Editing via Warping-Guided Latent Direction Learning
3D facial editing a longstanding task in computer vision with broad applications is expected to fast and intuitively manipulate any face from arbitrary viewpoints following the user's will. Existing works have limita…
AttributeFacial EditingA Generalist FaceX via Learning Unified Facial Representation
This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously. To achieve this goal, we initially formulate a unified facial representation for a broad spectr…
Facial EditingE4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion
This paper proposes a novel approach to face swapping from the perspective of fine-grained facial editing, dubbed "editing for swapping" (E4S). The traditional face swapping methods rely on global feature extraction and …
DisentanglementFace SwappingFacial EditingFacial Inpainting+1Robust Sequential DeepFake Detection
Since photorealistic faces can be readily generated by facial manipulation technologies nowadays, potential malicious abuse of these technologies has drawn great concerns. Numerous deepfake detection methods are thus pro…
DeepFake DetectionFace SwappingFacial EditingRIGID: Recurrent GAN Inversion and Editing of Real Face Videos
GAN inversion is indispensable for applying the powerful editability of GAN to real images. However, existing methods invert video frames individually often leading to undesired inconsistent results over time. In this pa…
AttributeFacial EditingVideo ReconstructionCHATEDIT: Towards Multi-turn Interactive Facial Image Editing via Dialogue
This paper explores interactive facial image editing via dialogue and introduces the ChatEdit benchmark dataset for evaluating image editing and conversation abilities in this context. ChatEdit is constructed from the Ce…
AttributeFacial EditingResponse GenerationDetecting and Recovering Sequential DeepFake Manipulation
Since photorealistic faces can be readily generated by facial manipulation technologies nowadays, potential malicious abuse of these technologies has drawn great concerns. Numerous deepfake detection methods are thus pro…
DeepFake DetectionFace SwappingFacial EditingImage CaptioningSemantic Unfolding of StyleGAN Latent Space
Generative adversarial networks (GANs) have proven to be surprisingly efficient for image editing by inverting and manipulating the latent code corresponding to an input real image. This editing property emerges from the…
AttributeDisentanglementFacial EditingVideo2StyleGAN: Disentangling Local and Global Variations in a Video
Image editing using a pretrained StyleGAN generator has emerged as a powerful paradigm for facial editing, providing disentangled controls over age, expression, illumination, etc. However, the approach cannot be directly…
Facial EditingOne-Shot Face Reenactment on Megapixels
The goal of face reenactment is to transfer a target expression and head pose to a source face while preserving the source identity. With the popularity of face-related applications, there has been much research on this …
Face GenerationFace ReenactmentFacial EditingTalking Face Generation+1TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have been made to adopt dual-space GAN for b…
AttributeDisentanglementFacial EditingStyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the out…
Face GenerationFacial EditingMotion GenerationTalking Face Generation+1Stitch it in Time: GAN-Based Facial Editing of Real Videos
The ability of Generative Adversarial Networks to encode rich semantics within their latent space has been widely adopted for facial image editing. However, replicating their success with videos has proven challenging. S…
Facial Editing