3 papers
cs.CV2026
VIVECaption: A Split Approach to Caption Quality Improvement
Varun Ananth, Baqiao Liu, Haoran Cai
Caption quality has emerged as a critical bottleneck in training high-quality text-to-image (T2I) and text-to-video (T2V) generative models. While visual language models (VLMs) are…
cs.CV2024
HARIVO: Harnessing Text-to-Image Models for Video Generation
Mingi Kwon, Seoung Wug Oh, Yang Zhou +6
We present a method to create diffusion-based video models from pretrained Text-to-Image (T2I) models. Recently, AnimateDiff proposed freezing the T2I model while only training tem…
cs.SI2023
Well-Connected Communities in Real-World and Synthetic Networks
Minhyuk Park, Yasamin Tabatabaee, Vikram Ramavarapu +7
Integral to the problem of detecting communities through graph clustering is the expectation that they are "well connected". In this respect, we examine five different community de…