Papers with Code 아카이브
Video Matting
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image credit: https://arxiv.org/pdf/2012.07810v1.pdf
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Object-Aware Video Matting with Cross-Frame Guidance
MatAnyone: Stable Video Matting with Consistent Memory Propagation
ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation
MaGGIe: Masked Guided Gradual Human Instance Matting
POBEVM: Real-time Video Matting via Progressively Optimize the Target Body and Edge
Video Instance Matting
OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Adaptive Human Matting for Dynamic Videos
FactorMatte: Redefining Video Matting for Re-Composition Tasks
VMFormer: End-to-End Video Matting with Transformer
One-Trimap Video Matting
Attention based Memory video portrait matting
MODNet-V: Improving Portrait Video Matting via Background Restoration
Automatic Portrait Video Matting via Context Motion Network
Temporally Coherent Person Matting Trained on Fake-Motion Dataset
Robust High-Resolution Video Matting with Temporal Guidance
Attention-guided Temporally Coherent Video Object Matting
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Flow-based Video Segmentation for Human Head and Shoulders
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
Background Matting
L1-regularized Reconstruction Error as Alpha Matte
Sparse Coding for Alpha Matting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.