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3D Face Animation
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Image: Cudeiro et al
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Structured Sparsity Learning for Efficient Video Super-Resolution
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Recurrent Video Restoration Transformer with Guided Deformable Attention
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
Accelerating the Training of Video Super-Resolution Models
None Class Ranking Loss for Document-Level Relation Extraction
Progressive Training of A Two-Stage Framework for Video Restoration
A New Dataset and Transformer for Stereoscopic Video Super-Resolution
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
On the Generalization of BasicVSR++ to Video Deblurring and Denoising
Learning Trajectory-Aware Transformer for Video Super-Resolution
Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution
Optical Flow for Video Super-Resolution: A Survey
STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
A Novel Dual Dense Connection Network for Video Super-resolution
Spatio-temporal Vision Transformer for Super-resolution Microscopy
Fast Online Video Super-Resolution with Deformable Attention Pyramid
Deep Networks for Image and Video Super-Resolution
VRT: A Video Restoration Transformer
Self-Supervised Deep Blind Video Super-Resolution
Stable Long-Term Recurrent Video Super-Resolution
FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution
PP-MSVSR: Multi-Stage Video Super-Resolution
Revisiting Temporal Alignment for Video Restoration
Investigating Tradeoffs in Real-World Video Super-Resolution
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.