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Found 7 papers, 2 papers with code
FreeEnricher: Enriching Face Landmarks without Additional Cost
To evaluate our method, we manually label the dense landmarks on 300W testset.
Ranked #1 on
Face Alignment
on 300W
MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images
For this task, we propose a simple yet effective method to train a generalizable NeRF with multiview images as conditional input.
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment
On the other hand, AAM is an attention module which can get anisotropic attention mask focusing on the region of point and its local edge connected by adjacent points, it has a stronger response in tangent than in normal, which means relaxed constraints in the tangent.
Ranked #5 on
Face Alignment
on 300W
Learning High-Fidelity Face Texture Completion Without Complete Face Texture
For face texture completion, previous methods typically use some complete textures captured by multiview imaging systems or 3D scanners for supervised learning.
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network
Incorporating spatio-temporal human visual perception into video quality assessment (VQA) remains a formidable issue.
Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding
We propose a generative framework which takes on the video frame interpolation problem.
Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework
Since human observers are the ultimate receivers of digital images, image quality metrics should be designed from a human-oriented perspective.
