#Identity Preservation

15개의 포스트

[논문리뷰] StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition

Seungmi Lee이 arXiv에 게시한 'StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition' 논문에 대한 자세한 리뷰입니다.

#Review #Facial Identity Recognition #Face Stylization #Perception-Aware #Identity Preservation #Deep Learning #Human-Calibration

2026년 4월 23일

[논문리뷰] WildActor: Unconstrained Identity-Preserving Video Generation

Fei Shen이 arXiv에 게시한 'WildActor: Unconstrained Identity-Preserving Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Identity Preservation #Human-Centric Video #Large-scale Dataset #Diffusion Models #Attention Mechanism #Viewpoint Consistency

2026년 3월 8일

[논문리뷰] Kling-MotionControl Technical Report

arXiv에 게시된 'Kling-MotionControl Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Character Animation #Video Generation #Diffusion Transformers (DiT)#Motion Control #Identity Preservation #Cross-Identity Transfer #Inference Acceleration #Multi-Granular Motion

2026년 3월 3일

[논문리뷰] Alterbute: Editing Intrinsic Attributes of Objects in Images

arXiv에 게시된 'Alterbute: Editing Intrinsic Attributes of Objects in Images' 논문에 대한 자세한 리뷰입니다.

#Review #Intrinsic Attributes #Object Editing #Diffusion Models #Identity Preservation #Visual Named Entities #Text-to-Image #VLM

2026년 1월 15일

[논문리뷰] DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer

arXiv에 게시된 'DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion Transformer' 논문에 대한 자세한 리뷰입니다.

#Review #Video Face Swapping #Diffusion Transformer #Identity Preservation #Temporal Consistency #Modality-Aware Conditioning #Reinforcement Learning #Data Synthesis

2026년 1월 5일

[논문리뷰] FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction

arXiv에 게시된 'FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction' 논문에 대한 자세한 리뷰입니다.

#Review #Portrait Animation #Diffusion Models #Inference Acceleration #Identity Preservation #Video Generation #Latent Prediction #Sliding Window

2025년 12월 18일

[논문리뷰] DeContext as Defense: Safe Image Editing in Diffusion Transformers

arXiv에 게시된 'DeContext as Defense: Safe Image Editing in Diffusion Transformers' 논문에 대한 자세한 리뷰입니다.

#Review #Diffusion Transformers #Image Editing #Privacy Protection #Adversarial Attack #Attention Mechanism #Identity Preservation #Deepfake Defense #In-context Learning

2025년 12월 18일

[논문리뷰] Scaling Zero-Shot Reference-to-Video Generation

arXiv에 게시된 'Scaling Zero-Shot Reference-to-Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Reference-to-Video Generation #Zero-Shot Learning #Diffusion Models #Masked Training #Video-Text Pairs #Identity Preservation #Scalability #Attention Mechanism

2025년 12월 8일

[논문리뷰] Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling

Igor Gilitschenski이 arXiv에 게시한 'Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling' 논문에 대한 자세한 리뷰입니다.

#Review #Subject-driven 3D/4D Generation #Texture Infilling #Video Tracking #Image Inpainting #Multi-view Consistency #Identity Preservation #Generative Models #3D Gaussians

2025년 10월 28일

[논문리뷰] Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Honglie Chen이 arXiv에 게시한 'Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation' 논문에 대한 자세한 리뷰입니다.

#Review #Audio-driven Animation #Identity Preservation #Diffusion Transformers #Long-form Video Generation #Temporal Autoregression #Keyframe Anchoring #Self-keyframing

2025년 10월 28일

[논문리뷰] Character Mixing for Video Generation

arXiv에 게시된 'Character Mixing for Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Character Mixing #Style Preservation #Multi-character Interaction #Text-to-Video #Cross-Domain Synthesis #Identity Preservation

2025년 10월 7일

[논문리뷰] Lynx: Towards High-Fidelity Personalized Video Generation

Linjie Luo이 arXiv에 게시한 'Lynx: Towards High-Fidelity Personalized Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Personalized Video Generation #Diffusion Transformer #Identity Preservation #Video Synthesis #Adapter Networks #Facial Recognition #Cross-Attention

2025년 9월 22일

[논문리뷰] LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence

Lionel M. Ni이 arXiv에 게시한 'LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence' 논문에 대한 자세한 리뷰입니다.

#Review #Image Editing #Diffusion Models #Multi-Modal Transformers #Drag-based Editing #Explicit Correspondence #Attention Control #Identity Preservation #Training-Free

2025년 9월 16일

[논문리뷰] MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Hualiang Wang이 arXiv에 게시한 'MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement' 논문에 대한 자세한 리뷰입니다.

#Review #Multi-Subject Generation #Personalized Image Synthesis #Semantic Correspondence #Attention Disentanglement #Diffusion Models #Identity Preservation #Dataset

2025년 9월 4일

[논문리뷰] Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation

Chen Li이 arXiv에 게시한 'Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Video Generation #Identity Preservation #Plug-and-Play #Diffusion Models #Self-Attention #Lightweight AI #Conditional Image Branch

2025년 8월 14일