The success of the transformer architecture in natural language processing has recently triggered attention in the computer vision field.
This paper deals with the problem of audio source separation.
Source separation models either work on the spectrogram or waveform domain.
Ranked #1 on
Music Source Separation
on MUSDB18
We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on
Sketch-to-Image Translation
on COCO-Stuff
Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize images of 3D scenes from novel views.
Ranked #1 on
Novel View Synthesis
on Mip-NeRF 360
We argue that the theory and practice of diffusion-based generative models are currently unnecessarily convoluted and seek to remedy the situation by presenting a design space that clearly separates the concrete design choices.
In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror.
It is a challenging problem because a target moment may take place in the context of other temporal moments in the untrimmed video.
YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56. 8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.
Ranked #1 on
Real-Time Object Detection
on COCO
We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.