Abstract: Recent open-world representation learning approaches have leveraged CLIP to enable zero-shot 3D object recognition. However, performance on real point clouds with occlusions still falls ...
Abstract: Personalized text-to-image generation aims to learn new concepts from user-provided images and subsequently generate diverse scenes or styles of the concepts from input prompts. Most ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...