Papers
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features
Wenhuan Huang, Yi JI, Guiqian Zhu et al.
Navigation World Models
Amir Bar, Gaoyue Zhou, Danny Tran et al.
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Namhyuk Ahn, KiYoon Yoo, Wonhyuk Ahn et al.
NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
Zengrong Lin, Zheng Wang, Tianwen Qian et al.
NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
Chenhao Li, Taishi Ono, Takeshi Uemori et al.
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
Wenyuan Zhang, Emily Yue-ting Jia, Junsheng Zhou et al.
Nested Diffusion Models Using Hierarchical Latent Priors
Xiao Zhang, Ruoxi Jiang, Rebecca Willett et al.
Neural Hierarchical Decomposition for Single Image Plant Modeling
Zhihao Liu, Zhanglin Cheng, Naoto Yokoya
Neural Inverse Rendering from Propagating Light
Anagh Malik, Benjamin Attal, Andrew Xie et al.
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Zexin He, Tengfei Wang, Xin Huang et al.
Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning
Chenjie Hao, Weyl Lu, Yifan Xu et al.
Neural Video Compression with Context Modulation
Chuanbo Tang, Zhuoyuan Li, Yifan Bian et al.
Neuro-3D: Towards 3D Visual Decoding from EEG Signals
Zhanqiang Guo, Jiamin Wu, Yonghao Song et al.
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
Yang Chen, Jingcai Guo, Song Guo et al.
Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification
S P Sharan, Minkyu Choi, Sahil Shah et al.
NexusGS: Sparse View Synthesis with Epipolar Depth Priors in 3D Gaussian Splatting
Yulong Zheng, Zicheng Jiang, Shengfeng He et al.
NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation
Qi Bi, Jingjun Yi, Huimin Huang et al.
NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou et al.
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models
Bikang Pan, Qun Li, Xiaoying Tang et al.
NN-Former: Rethinking Graph Structure in Neural Architecture Representation
Ruihan Xu, Haokui Zhang, Yaowei Wang et al.
nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark
Yanfeng Zhou, Lingrui Li, Le Lu et al.
Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement
Hesong Li, Ziqi Wu, Ruiwen Shao et al.
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
Kunpeng Qiu, Zhiqiang Gao, Zhiying Zhou et al.
NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models
Longquan Dai, He Wang, Jinhui Tang
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
Boming Miao, Chunxiao Li, Xiaoxiao Wang et al.