most citedWhen ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment

Liyao Tang, Zhe Chen, Shanshan Zhao +2

Label-efficient segmentation aims to perform effective segmentation on input data using only sparse and limited ground-truth labels for training. This topic is widely studied in 3D…

cs.CV2024★ 3 cited

When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability

Wenjie Xuan, Yufei Xu, Shanshan Zhao +4

ControlNet excels at creating content that closely matches precise contours in user-provided masks. However, when these masks contain noise, as a frequent occurrence with non-exper…

cs.CV2024

Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Jianbin Zheng, Minghui Hu, Zhongyi Fan +4

Latent Consistency Model (LCM) extends the Consistency Model to the latent space and leverages the guided consistency distillation technique to achieve impressive performance in ac…

cs.CV2023★ 1 cited

One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls

Minghui Hu, Jianbin Zheng, Chuanxia Zheng +3

It is well known that many open-released foundational diffusion models have difficulty in generating images that substantially depart from average brightness, despite such images b…

cs.CV2023★ 2 cited

HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting

Wenquan Lu, Yufei Xu, Jing Zhang +2

Diffusion models have achieved remarkable success in generating realistic images but suffer from generating accurate human hands, such as incorrect finger counts or irregular shape…