Search Results for author:
Found 7 papers, 4 papers with code
Compositional 3D Scene Synthesis with Scene Graph Guided Layout-Shape Generation
Recent progresses have been made in shape generation with powerful generative models, such as diffusion models, which increases the shape fidelity.
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
However, the accuracy of detection models degrades significantly on images generated by new deepfake methods due to the difference in data distribution.
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models
3D building generation with low data acquisition costs, such as single image-to-3D, becomes increasingly important.
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
We introduce DualMind, a generalist agent designed to tackle various decision-making tasks that addresses challenges posed by current methods, such as overfitting behaviors and dependence on task-specific fine-tuning.
Attention Based Relation Network for Facial Action Units Recognition
In this paper, we propose a novel Attention Based Relation Network (ABRNet) for AU recognition, which can automatically capture AU relations without unnecessary or even disturbing predefined rules.
Flow-based GAN for 3D Point Cloud Generation from a Single Image
Generating a 3D point cloud from a single 2D image is of great importance for 3D scene understanding applications.
Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Images
Road surface extraction from remote sensing images using deep learning methods has achieved good performance, while most of the existing methods are based on fully supervised learning, which requires a large amount of training data with laborious per-pixel annotation.
