In this work, we introduce a self-supervised feature representation lear...
Automatically generating high-quality real world 3D scenes is of enormou...
Latent Diffusion Models (LDMs) enable high-quality image synthesis while...
Modern image generative models show remarkable sample quality when train...
Annotating images with pixel-wise labels is a time-consuming and costly
...
Generative adversarial networks (GANs) have recently found applications ...
Realistic simulators are critical for training and verifying robotics
sy...
Training a neural network with a large labeled dataset is still a domina...
Autonomous vehicles (AVs) can achieve the desired results within a short...
Simulation is a crucial component of any robotic system. In order to sim...
Understanding stories is a challenging reading comprehension problem for...
Recent research on a learning mapping between raw Bayer images and RGB i...
3D hand pose estimation from a single depth image plays an important rol...
Generative adversarial network (GAN)-based image inpainting methods whic...
Over the past decade, there has been a growing interest in human pose
es...
Humans learn to solve tasks of increasing complexity by building on top ...