8 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2026
SwiftI2V: Efficient High-Resolution Image-to-Video Generation via Conditional Segment-wise Generation
YaoYang Liu, Yuechen Zhang, Wenbo Li +3
High-resolution image-to-video (I2V) generation aims to synthesize realistic temporal dynamics while preserving fine-grained appearance details of the input image. At 2K resolution…
cs.CV2021★ 4 cited
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
Rui Liu, Yixiao Ge, Ching Lam Choi +2
Conditional generative adversarial networks (cGANs) target at synthesizing diverse images given the input conditions and latent codes, but unfortunately, they usually suffer from t…
cs.AI2020★ 8 cited
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa +4
Generative adversarial networks (GANs) are quickly becoming a ubiquitous approach to procedurally generating video game levels. While GAN generated levels are stylistically similar…