37 citations · 50 across the 10 of their papers we have counts for
4 papers · 1 filter
Manga Generation via Layout-controllable Diffusion
Siyu Chen, Dengjie Li, Zenghao Bao +4
Generating comics through text is widely studied. However, there are few studies on generating multi-panel Manga (Japanese comics) solely based on plain text. Japanese manga contai…
LinVT: Empower Your Image-level Large Language Model to Understand Videos
Lishuai Gao, Yujie Zhong, Yingsen Zeng +3
Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an LLM-based assistant for videos. Instead of training from scratch, we propose a modu…
RFSR: Improving ISR Diffusion Models via Reward Feedback Learning
Xiaopeng Sun, Qinwei Lin, Yu Gao +6
Generative diffusion models (DM) have been extensively utilized in image super-resolution (ISR). Most of the existing methods adopt the denoising loss from DDPMs for model optimiza…
TASR: Timestep-Aware Diffusion Model for Image Super-Resolution
Qinwei Lin, Xiaopeng Sun, Yu Gao +4
Diffusion models have recently achieved outstanding results in the field of image super-resolution. These methods typically inject low-resolution (LR) images via ControlNet.In this…