5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 5 cited
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints
Chuan Fang, Yuan Dong, Kunming Luo +3
Text-driven 3D indoor scene generation is useful for gaming, the film industry, and AR/VR applications. However, existing methods cannot faithfully capture the room layout, nor do…
cs.CV2022★ 1 cited
A Real World Dataset for Multi-view 3D Reconstruction
Rakesh Shrestha, Siqi Hu, Minghao Gou +2
We present a dataset of 998 3D models of everyday tabletop objects along with their 847,000 real world RGB and depth images. Accurate annotations of camera poses and object poses f…
cs.CV2020★ 1 cited
MeshMVS: Multi-View Stereo Guided Mesh Reconstruction
Rakesh Shrestha, Zhiwen Fan, Qingkun Su +3
Deep learning based 3D shape generation methods generally utilize latent features extracted from color images to encode the semantics of objects and guide the shape generation proc…