Papers
8,506 papers found
LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization
Hongjin Lyu, Bo Li, Paul L. Rosin et al.
LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds
Lingteng Qiu, Xiaodong Gu, Peihao Li et al.
Liberated-GS: 3D Gaussian Splatting Independent from SfM Point Clouds
Weihong Pan, Xiaoyu Zhang, Hongjia Zhai et al.
Lidar Waveforms are Worth 40x128x33 Words
Dominik Scheuble, Hanno Holzhüter, Steven Peters et al.
Lifting the Structural Morphing for Wide-Angle Images Rectification: Unified Content and Boundary Modeling
Wenting Luan, Siqi Lu, Yongbin Zheng et al.
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
Amirhossein Kazerouni, Soroush Mehraban, Michael Brudno et al.
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
Yujie Zhou, Jiazi Bu, Pengyang Ling et al.
LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
Jiang Yuan, Ji Ma, Bo Wang et al.
LightCity: An Urban Dataset for Outdoor Inverse Rendering and Reconstruction under Multi-illumination Conditions
Jingjing Wang, Qirui Hu, Chong Bao et al.
LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal
Shr-Ruei Tsai, Wei-Cheng Chang, Jie-Ying Lee et al.
LightSwitch: Multi-view Relighting with Material-guided Diffusion
Yehonathan Litman, Fernando De la Torre, Shubham Tulsiani
Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
Wontae Kim, Keuntek Lee, Nam Ik Cho
Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images
Simon Niedermayr, Christoph Neuhauser, Rüdiger Westermann
LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression
Wenjie Huang, Qi Yang, Shuting Xia et al.
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion
Yisu Zhang, Chenjie Cao, Chaohui Yu et al.
LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance
Zhang Li, Biao Yang, Qiang Liu et al.
LIRA: Reasoning Reconstruction via Multimodal Large Language Models
Zhen Zhou, Tong Wang, Yunkai Ma et al.
LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation
Jiahao Wang, Ning Kang, Lewei Yao et al.
LLaFEA: Frame-Event Complementary Fusion for Fine-Grained Spatiotemporal Understanding in LMMs
Hanyu Zhou, Gim Hee Lee
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities
Chenming Zhu, Tai Wang, Wenwei Zhang et al.
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Guowei Xu, Peng Jin, Ziang Wu et al.
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
Yuxuan Cai, Jiangning Zhang, Haoyang He et al.
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
Yuzhang Shang, Mu Cai, Bingxin Xu et al.
LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs
Haoran Lou, Chunxiao Fan, Ziyan Liu et al.
LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning
Jianfeng Dong, Danfeng Luo, Daizong Liu et al.