1 citations · 2 across the 5 of their papers we have counts for
5 papers
SAM 3D: 3Dfy Anything in Images
SAM 3D Team, Xingyu Chen, Fu-Jen Chu +20
We present SAM 3D, a generative model for visually grounded 3D object reconstruction, predicting geometry, texture, and layout from a single image. SAM 3D excels in natural images,…
HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models
Mingzhen Huang, Fu-Jen Chu, Bugra Tekin +10
We introduce HOIGPT, a token-based generative method that unifies 3D hand-object interactions (HOI) perception and generation, offering the first comprehensive solution for caption…
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation
Hao Tang, Weiyao Wang, Pierre Gleize +1
Recovering camera poses from a set of images is a foundational task in 3D computer vision, which powers key applications such as 3D scene/object reconstructions. Classic methods of…
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization
Weiyao Wang, Pierre Gleize, Hao Tang +3
Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each…
SiLK -- Simple Learned Keypoints
Pierre Gleize, Weiyao Wang, Matt Feiszli
Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like H…