https://github.com/VinAIResearch/CPM
공식 코드Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
MotionBERT: A Unified Perspective on Learning Human Motion Representations
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
GSLoc: Efficient Camera Pose Refinement via 3D Gaussian Splatting
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
KV-Edit: Training-Free Image Editing for Precise Background Preservation
TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors
Joint Identity Verification and Pose Alignment for Partial Fingerprints
Decoupling Global and Local Representations via Invertible Generative Flows
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Collaborative Regression of Expressive Bodies using Moderation
Diffusion Models: A Comprehensive Survey of Methods and Applications
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Structured Content Preservation for Unsupervised Text Style Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.