In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.
With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media providers.
The proposed scheme does not require pre-computation and can improve the amortized running time of the composed MPC with a well-trained neural network.
As computer-generated content and deepfakes make steady improvements, semantic approaches to multimedia forensics will become more important.
Object detection in Ultra High-Resolution (UHR) images has long been a challenging problem in computer vision due to the varying scales of the targeted objects.