Wavelet Diffusion Models are fast and scalable Image Generators
1. Introduction Diffusion models are rising as a powerful solution for high-fidelity image generatio(...)
1. Introduction Diffusion models are rising as a powerful solution for high-fidelity image generatio(...)
1. Introduction Based on the closed-form solution of Wasserstein distance in one dimension, Sliced W(...)
1. Introduction As the Wasserstein (WS) distance is a powerful and convenient tool of measuring clos(...)
1. Introduction Existing 3D instance segmentation methods are predominated by the bottom-up design â(...)
1. Introduction Any-scale image synthesis is efficient and scalable, but GAN-based solutions rely to(...)
Motivations: Advancements in neural TTS technology have led to significant improvements in producing(...)
Hue Nguyen and her team were awarded the Best Paper (Honorable Mention) at the Winter Conference on (...)
1. Introduction We introduce a new problem in 3D point cloud: few-shot instance segmentation (3DFSIS(...)
1. Motivations The masked language model BERT and its variants, pre-trained on large-scale corpora(...)
1. Introduction 1.1. Problem setup This paper addresses a new task of Few-Shot object Counting and D(...)
1. Introduction Sampling from an unnormalized target distribution that we know the density function (...)
1. Introduction The field of NLP has achieved remarkable success in recent years, thanks to the deve(...)