3 citations · 4 across the 4 of their papers we have counts for
5 papers · 1 filter
Character-Centric Understanding of Animated Movies
Zhongrui Gui, Junyu Xie, Tengda Han +2
Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the c…
AutoAD III: The Prequel -- Back to the Pixels
Tengda Han, Max Bain, Arsha Nagrani +3
Generating Audio Description (AD) for movies is a challenging task that requires fine-grained visual understanding and an awareness of the characters and their names. Currently, vi…
Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods
Joao F. Henriques, Dylan Campbell, Tengda Han
Two years ago, Stable Diffusion achieved super-human performance at generating images with super-human numbers of fingers. Following the steady decline of its technical novelty, we…
AutoAD II: The Sequel -- Who, When, and What in Movie Audio Description
Tengda Han, Max Bain, Arsha Nagrani +3
Audio Description (AD) is the task of generating descriptions of visual content, at suitable time intervals, for the benefit of visually impaired audiences. For movies, this presen…
AutoAD: Movie Description in Context
Tengda Han, Max Bain, Arsha Nagrani +3
The objective of this paper is an automatic Audio Description (AD) model that ingests movies and outputs AD in text form. Generating high-quality movie AD is challenging due to the…