All Papers
34,598 papers found • Page 537 of 692
Conference
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Liang He, Yunan Lu, Weiwei Li et al.
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis
Basile Van Hoorick, Rundi Wu, Ege Ozguroglu et al.
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Bao Nguyen, Binh Nguyen, Trung Hieu Nguyen et al.
Generative End-to-End Autonomous Driving
Wenzhao Zheng, Ruiqi Song, Xianda Guo et al.
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
Zhenqiao Song, Yunlong Zhao, Wenxian Shi et al.
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell, Jason Yim, Regina Barzilay et al.
Generative Human Motion Stylization in Latent Space
chuan guo, Yuxuan Mu, Xinxin Zuo et al.
Generative Image Dynamics
Zhengqi Li, Richard Tucker, Noah Snavely et al.
Generative Judge for Evaluating Alignment
Junlong Li, Shichao Sun, Weizhe Yuan et al.
Generative Latent Coding for Ultra-Low Bitrate Image Compression
Zhaoyang Jia, Jiahao Li, Bin Li et al.
Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns
Hongbin Huang, Minghua Chen, Xiao Qiao
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
Enming Liang, Minghua Chen
Generative Marginalization Models
Sulin Liu, Peter Ramadge, Ryan P. Adams
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
Ilan Naiman, N. Benjamin Erichson, Pu Ren et al.
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo, Sung Ju Hwang
Generative Modeling with Phase Stochastic Bridge
Tianrong Chen, Jiatao Gu, Laurent Dinh et al.
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
Guipeng Lan, Shuai Xiao, Jiachen Yang et al.
Generative Multi-Modal Knowledge Retrieval with Large Language Models
Xinwei Long, Jiali Zeng, Fandong Meng 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 Pre-training for Speech with Flow Matching
Alexander Liu, Matthew Le, Apoorv Vyas et al.
Generative Proxemics: A Prior for 3D Social Interaction from Images
Vickie Ye, 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 Sliced MMD Flows with Riesz Kernels
Johannes Hertrich, Christian Wald, Fabian Altekrüger et al.
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
Vedang Asgaonkar, Aditya Jain, Abir De
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
HAOYUE DAI, Ignavier Ng, Gongxu Luo 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.
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
Tomas Soucek, Dima Damen, Michael Wray et al.
Genie: Generative Interactive Environments
Jake Bruce, Michael Dennis, Ashley Edwards et al.
GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator
Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
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.
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
Zhenfang Chen, Rui Sun, Wenjun Liu et al.
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
YUHANG LI, Youngeun Kim, Donghyun Lee et al.
GenRC: Generative 3D Room Completion from Sparse Image Collections
Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen et al.
GenSim: Generating Robotic Simulation Tasks via Large Language Models
Lirui Wang, Yiyang Ling, Zhecheng Yuan et al.
GenTron: Diffusion Transformers for Image and Video Generation
Shoufa Chen, Mengmeng Xu, Jiawei Ren et al.
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Yijun Yang, Hongtao Wu, Angelica I. Aviles-Rivero et al.
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang, Xiangtai Li et al.
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
GenZI: Zero-Shot 3D Human-Scene Interaction Generation
Lei Li, Angela Dai
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
Haitao Lin, Lirong Wu, Yufei Huang et al.
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
Shengjun Zhang, Xin Fei, Yueqi Duan