most citedCones 2: Customizable Image Synthesis with Multiple Subjects

8 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Technique Report of CVPR 2024 PBDL Challenges

Ying Fu, Yu Li, Shaodi You +96

The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…

cs.CV2024

FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

Linjiang Huang, Rongyao Fang, Aiping Zhang +4

In this study, we delve into the generation of high-resolution images from pre-trained diffusion models, addressing persistent challenges, such as repetitive patterns and structura…

cs.CV2024

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction

Yu Liu, Yuexin Zhang, Kunming Li +4

Predicting pedestrian motion trajectories is crucial for path planning and motion control of autonomous vehicles. Accurately forecasting crowd trajectories is challenging due to th…

cs.AI20231 cited

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning

Chuming Li, Ruonan Jia, Jie Liu +5

Model-based reinforcement learning (RL) has demonstrated remarkable successes on a range of continuous control tasks due to its high sample efficiency. To save the computation cost…

cs.CV20238 cited

Cones 2: Customizable Image Synthesis with Multiple Subjects

Zhiheng Liu, Yifei Zhang, Yujun Shen +7

Synthesizing images with user-specified subjects has received growing attention due to its practical applications. Despite the recent success in single subject customization, exist…