Anything-3D: Towards Single-view Anything Reconstruction in the Wild

19 April 2023

Papers citing "Anything-3D: Towards Single-view Anything Reconstruction in the Wild"

8 / 8 papers shown

Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 61 0 0 08 May 2025
Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields Xingyu Miao Haoran Duan Yang Bai Tejal Shah Jun Song Yang Long R. Ranjan Ling Shao 76 4 0 31 Jan 2025
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images Virmarie Maquiling Sean Anthony Byrne D. Niehorster Marco Carminati Enkelejda Kasneci VLM 45 0 0 11 Oct 2024
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo Bohan Wang Kaiming He Wojciech Matusik 3DGS 83 6 0 30 May 2024
SPAD : Spatially Aware Multiview Diffusers Yash Kant Ziyi Wu Michael Vasilkovsky Guocheng Qian Jian Ren R. A. Guler Bernard Ghanem Sergey Tulyakov Igor Gilitschenski Aliaksandr Siarohin DiffM 22 34 0 07 Feb 2024
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation Yonglin Li Jing Zhang Xiao Teng Long Lan VOS VLM 19 16 0 03 Jul 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 32 89 0 14 May 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 388 4,110 0 28 Jan 2022