Papers
11,015 papers found
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
Shuyi Jiang, Qihao Zhao, Hossein Rahmani et al.
Gaussian-Det: Learning Closed-Surface Gaussians for 3D Object Detection
Hongru Yan, Yu Zheng, Yueqi Duan
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos J Soto, Matthew Reimherr, Aleksandra Slavkovic et al.
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
Dan MacKinlay, Russell Tsuchida, Daniel Edward Pagendam et al.
Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping
Tianhao Walter Wu, Jing Yang, Zhilin Guo et al.
Gaussian Mixture Counterfactual Generator
Jong-Hoon Ahn, Akshay Vashist
Gaussian Splatting Lucas-Kanade
Liuyue Xie, Joel Julin, Koichiro Niinuma et al.
GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
Xiaojian Lin, Hanhui Li, Yuhao Cheng et al.
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel et al.
GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
Zhiteng Li, Lele Chen, Jerone Andrews et al.
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
Generalizable Human Gaussians from Single-View Image
Jinnan Chen, Chen Li, Jianfeng Zhang et al.
Generalizable Motion Planning via Operator Learning
Sharath Matada, Luke Bhan, Yuanyuan Shi et al.
Generalization and Distributed Learning of GFlowNets
Tiago Silva, Amauri H Souza, Omar Rivasplata et al.
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
Xianyang Zhang, Huijuan Zhou
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
Behrooz Tahmasebi, Stefanie Jegelka
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi CHEN, Jierui Zhu, Florian Shkurti
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
Xinyi Wang, Antonis Antoniades, Yanai Elazar et al.
Generalized Behavior Learning from Diverse Demonstrations
Varshith Sreeramdass, Rohan R Paleja, Letian Chen et al.
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim et al.
Generalized Principal-Agent Problem with a Learning Agent
Tao Lin, Yiling Chen
Generalized Video Moment Retrieval
You Qin, Qilong Wu, Yicong Li et al.