Papers
General Point Model Pretraining with Autoencoding and Autoregressive
Zhe Li, Zhangyang Gao, Cheng Tan et al.
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models
Bin Fu, Fanghua Yu, Anran Liu et al.
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
Fei Ni, Jianye Hao, Shiguang Wu et al.
Generating Content for HDR Deghosting from Frequency View
Tao Hu, Qingsen Yan, Yuankai Qi et al.
Generating Enhanced Negatives for Training Language-Based Object Detectors
Shiyu Zhao, Long Zhao, Vijay Kumar B G et al.
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline
Yu Chen, Fei Gao, Yanguang Zhang et al.
Generating Human Motion in 3D Scenes from Text Descriptions
Zhi Cen, Huaijin Pi, Sida Peng et al.
Generating Illustrated Instructions
Sachit Menon, Ishan Misra, Rohit Girdhar
Generating Non-Stationary Textures using Self-Rectification
Yang Zhou, Rongjun Xiao, Dani Lischinski et al.
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
Bi'an Du, Xiang Gao, Wei Hu et al.
Generative Image Dynamics
Zhengqi Li, Richard Tucker, Noah Snavely et al.
Generative Latent Coding for Ultra-Low Bitrate Image Compression
Zhaoyang Jia, Jiahao Li, Bin Li et al.
Generative Multi-modal Models are Good Class Incremental Learners
Xusheng Cao, Haori Lu, Linlan Huang et al.
Generative Multimodal Models are In-Context Learners
Quan Sun, Yufeng Cui, Xiaosong Zhang et al.
Generative Powers of Ten
Xiaojuan Wang, Janne Kontkanen, Brian Curless et al.
Generative Proxemics: A Prior for 3D Social Interaction from Images
Lea Müller, Vickie Ye, Georgios Pavlakos et al.
Generative Quanta Color Imaging
Vishal Purohit, Junjie Luo, Yiheng Chi et al.
Generative Region-Language Pretraining for Open-Ended Object Detection
Chuang Lin, Yi Jiang, Lizhen Qu et al.
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models
Shengqu Cai, Duygu Ceylan, Matheus Gadelha et al.
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.
GenesisTex: Adapting Image Denoising Diffusion to Texture Space
Chenjian Gao, Boyan Jiang, Xinghui Li et al.
GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
Sungphill Moon, Hyeontae Son, Dongcheol Hur et al.
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation Demonstration and Imitation
Zifan Wang, Junyu Chen, Ziqing Chen et al.
GenN2N: Generative NeRF2NeRF Translation
Xiangyue Liu, Han Xue, Kunming Luo et al.
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
Xiao Chen, Quanyi Li, Tai Wang et al.