WebAug 3, 2024 · The key takeaway here is that data-copying and over-representation are orthogonal failure modes of generative models. A model that exhibits over-representation may or may not data-copy and vice versa. As such, it is critical that we test for both failure modes when designing and training models. WebApr 26, 2024 · This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class of generative models. Part 2 covers three new techniques for overcoming the slow sampling challenge in diffusion models. Generative models are a class of machine learning …
Reliable Fidelity and Diversity Metrics for Generative Models
WebJan 1, 2024 · A new image augmentation model named Tree-CycleGAN is built. • The symmetric tree generator and constructor are designed to achieve the diversity. • A … WebMay 2, 2024 · In the recent past, I have talked about GANs and VAEs as two important Generative Models that have found a lot of success and recognition. GANs work great for multiple applications however, they are … indian promise
How Generative AI Could Disrupt Creative Work - hbr.org
WebApr 11, 2024 · Generative AI, in the form of image generators like DALL-E, Midjourney and Stable Diffusion, and text generators like Bard, ChatGPT, Chinchilla and LLaMA, has exploded in the public sphere. By combining clever machine-learning algorithms with billions of pieces of human-generated content, these systems can do anything from create an … WebDec 15, 2024 · A wide variety of deep generative models has been developed in the past decade. Yet, these models often struggle with simultaneously addressing three key requirements including: high sample quality, mode coverage, and fast sampling. We call the challenge imposed by these requirements the generative learning trilemma, as the … WebJan 1, 2024 · Therefore, it is greatly valuable to exploring a proper generative model for augmenting the gear pitting samples based on the existing and limited pitting images. Generative Adversarial Network (GAN) [4] is a typical deep generative network. ... a maximum diversity loss is proposed to further improve sample diversity between … indian project rhino