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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.
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
Photorealistic Video Generation with Diffusion Models
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
Hypergraph Contrastive Learning for Drug Trafficking Community Detection
DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution
A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution
An End-Cloud Computing Enabled Surveillance Video Transmission System
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Data
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras
Video Super-Resolution Using a Grouped Residual in Residual Network
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
DF-3DFace: One-to-Many Speech Synchronized 3D Face Animation with Diffusion
SimDA: Simple Diffusion Adapter for Efficient Video Generation
Speech-Driven 3D Face Animation with Composite and Regional Facial Movements
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR
SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces
Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution
EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
Can SAM Boost Video Super-Resolution?
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.