56 citations · 143 across the 7 of their papers we have counts for
8 papers
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
Xiaoming Yu, Shize Tang, Guanghua Yu +4
We introduce Delta-Aware Quantization (DAQ), a data-free post-training quantization framework that preserves the knowledge acquired during post-training. Standard quantization obje…
REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment
Haonan Han, Rui Yang, Huan Liao +6
Traditional image-to-3D models often struggle with scenes containing multiple objects due to biases and occlusion complexities. To address this challenge, we present REPARO, a nove…
Toward Zero-Shot Unsupervised Image-to-Image Translation
Yuanqi Chen, Xiaoming Yu, Shan Liu +1
Recent studies have shown remarkable success in unsupervised image-to-image translation. However, if there has no access to enough images in target classes, learning a mapping from…
Deep Image Spatial Transformation for Person Image Generation
Yurui Ren, Xiaoming Yu, Junming Chen +2
Pose-guided person image generation is to transform a source person image to a target pose. This task requires spatial manipulations of source data. However, Convolutional Neural N…
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu, Yuanqi Chen, Thomas Li +2
Recent advances of image-to-image translation focus on learning the one-to-many mapping from two aspects: multi-modal translation and multi-domain translation. However, the existin…
StructureFlow: Image Inpainting via Structure-aware Appearance Flow
Yurui Ren, Xiaoming Yu, Ruonan Zhang +3
Image inpainting techniques have shown significant improvements by using deep neural networks recently. However, most of them may either fail to reconstruct reasonable structures o…
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning
Xiaoming Yu, Xing Cai, Zhenqiang Ying +2
Image translation is a burgeoning field in computer vision where the goal is to learn the mapping between an input image and an output image. However, most recent methods require m…
Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
Xiaoming Yu, Zhenqiang Ying, Thomas Li +2
Recent advances in image-to-image translation have seen a rise in approaches generating diverse images through a single network. To indicate the target domain for a one-to-many map…