1 citations · 3 across the 12 of their papers we have counts for
4 papers · 1 filter
FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
Zekang Zhang, Guangyu Gao, Youyun Tang +7
LLM-conditioned segmentation has recently advanced rapidly by coupling large language models with iterative mask generation frameworks. However, we identify a persistent failure mo…
Self-Prompting Diffusion Transformer for Open-Vocabulary Scene Text Editing via In-Context Learning
Hongxi Li, Tong Wang, Chengjing Wu +6
Scene text editing aims to modify text in a target region of an image while preserving surrounding background style and texture. Existing methods rely solely on image background in…
MiVE: Multiscale Vision-language features for reference-guided video Editing
Tong Wang, Meng Zou, Chengjing Wu +4
Reference-guided video editing takes a source video, a text instruction, and a reference image as inputs, requiring the model to faithfully apply the instructed edits while preserv…
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation
Zijie Lou, Xiangwei Feng, Jiaxin Wang +7
Existing video object removal methods predominantly rely on diffusion models following a noise-to-data paradigm, where generation starts from uninformative Gaussian noise. This app…