Search Results for author:
Found 9 papers, 2 papers with code
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation
Recently, image-to-3D approaches have achieved significant results with a natural image as input.
Learning Macroeconomic Policies based on Microfoundations: A Stackelberg Mean Field Game Approach
Effective macroeconomic policies play a crucial role in promoting economic growth and social stability.
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Thirdly, we propose a decoding module to include the supervision of shape masks and edges and align the original and reconstructed shape features, enforcing the learned features to be more shape-aware.
Unsupervised Visual Defect Detection with Score-Based Generative Model
Thus, we focus on the unsupervised visual defect detection and localization tasks and propose a novel framework based on the recent score-based generative models, which synthesize the real image by iterative denoising through stochastic differential equations (SDEs).
Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge
Recognizing Families In the Wild (RFIW): an annual large-scale, multi-track automatic kinship recognition evaluation that supports various visual kin-based problems on scales much higher than ever before.
Music2Dance: DanceNet for Music-driven Dance Generation
Synthesize human motions from music, i. e., music to dance, is appealing and attracts lots of research interests in recent years.
Ranked #5 on
Motion Synthesis
on AIST++
What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
Specifically, we propose a two-stage kin-face generation model to predict the appearance of a child given a pair of parents.
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
To accelerate the model, we propose an efficient network structure to accelerate the evolutionary learning process through a factorization strategy.
Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection
Over the years many ellipse detection algorithms spring up and are studied broadly, while the critical issue of detecting ellipses accurately and efficiently in real-world images remains a challenge.
