Papers
GFPose: Learning 3D Human Pose Prior With Gradient Fields
Hai Ci, Mingdong Wu, Wentao Zhu et al.
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild
Bokui Shen, Xinchen Yan, Charles R. Qi et al.
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods
Da Yin, Feng Gao, Govind Thattai et al.
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
Huiping Zhuang, Zhenyu Weng, Run He et al.
GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling
Richard Plesh, Peter Peer, Vitomir Struc
GLeaD: Improving GANs With a Generator-Leading Task
Qingyan Bai, Ceyuan Yang, Yinghao Xu et al.
GLIGEN: Open-Set Grounded Text-to-Image Generation
Yuheng Li, Haotian Liu, Qingyang Wu et al.
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
Fei Du, Peng Yang, Qi Jia et al.
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation
Xiaolong Shen, Zongxin Yang, Xiaohan Wang et al.
Global Vision Transformer Pruning With Hessian-Aware Saliency
Huanrui Yang, Hongxu Yin, Maying Shen et al.
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition
Haoyu Wang, Guansong Pang, Peng Wang et al.
Gloss Attention for Gloss-Free Sign Language Translation
Aoxiong Yin, Tianyun Zhong, Li Tang et al.
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images
Jianchuan Chen, Wentao Yi, Liqian Ma et al.
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé et al.
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
Zhengwei Yang, Meng Lin, Xian Zhong et al.
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning
Zhenyu Xie, Zaiyu Huang, Xin Dong et al.
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
Lin Tian, Hastings Greer, François-Xavier Vialard et al.
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
Hanjing Wang, Dhiraj Joshi, Shiqiang Wang et al.
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
Xingxuan Zhang, Renzhe Xu, Han Yu et al.
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
Kangyang Luo, Xiang Li, Yunshi Lan et al.
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions
Yun He, Danhang Tang, Yinda Zhang et al.
Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
Chang Yu, Xiangyu Zhu, Xiaomei Zhang et al.
Graph Representation for Order-Aware Visual Transformation
Yue Qiu, Yanjun Sun, Fumiya Matsuzawa et al.
Graph Transformer GANs for Graph-Constrained House Generation
Hao Tang, Zhenyu Zhang, Humphrey Shi et al.
GraVoS: Voxel Selection for 3D Point-Cloud Detection
Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal