66 citations · 216 across the 50 of their papers we have counts for
5 papers · 1 filter
SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
HyunJun Jung, Weihang Li, Shun-Cheng Wu +8
Traditionally, 3d indoor datasets have generally prioritized scale over ground-truth accuracy in order to obtain improved generalization. However, using these datasets to evaluate…
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen +5
We present EchoScene, an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that dynam…
FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos
Florian Philipp Stilz, Mert Asim Karaoglu, Felix Tristram +3
Reconstruction of endoscopic scenes is an important asset for various medical applications, from post-surgery analysis to educational training. Neural rendering has recently shown…
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation
Francesco Di Felice, Alberto Remus, Stefano Gasperini +5
Estimating the pose of objects through vision is essential to make robotic platforms interact with the environment. Yet, it presents many challenges, often related to the lack of f…
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images
Junwen Huang, Hao Yu, Kuan-Ting Yu +3
Recent learning methods for object pose estimation require resource-intensive training for each individual object instance or category, hampering their scalability in real applicat…