11 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization
Xuancheng Xu, Gengyun Jia, Bing-Kun Bao
Video customization based on Text-to-Video (T2V) models aims to learn specific features from reference data to generate controllable videos. While significant strides have been mad…
cs.CV2025★ 1 cited
Causal Debiasing for Visual Commonsense Reasoning
Jiayi Zou, Gengyun Jia, Bing-Kun Bao
Visual Commonsense Reasoning (VCR) refers to answering questions and providing explanations based on images. While existing methods achieve high prediction accuracy, they often ove…
cs.CV2024★ 11 cited
Latte: Latent Diffusion Transformer for Video Generation
Xin Ma, Yaohui Wang, Xinyuan Chen +5
We propose Latte, a novel Latent Diffusion Transformer for video generation. Latte first extracts spatio-temporal tokens from input videos and then adopts a series of Transformer b…