A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Leach, Adam
This paper provides a comprehensive comparative review of deep generative models, including VAEs, GANs, normalizing flows, energy-based models, and autoregressive models, highlighting their trade-offs and interconnections.
Unknown
Openvid-1m introduces a large-scale, high-quality dataset for text-to-video generation, filtered by aesthetics scores to retain the top 20% of videos.
Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, et al.
This review surveys deep learning methods for computer vision, covering CNNs, DBMs, DBNs, and SDAEs, their history, structure, applications, and future directions.
Luming Zhang, Mingli Song, Qi Zhao, et al.
This paper introduces graphlets (small connected subgraphs) to represent aesthetic features and proposes a probabilistic model for automatic photo cropping via Gibbs sampling.