A jointly trained image-point-cloud network estimates category-level 6D pose and 3D shape from a single RGB image, reporting better results than the closest prior work CPS on most NOCS benchmarks.
CodeSLAM—learning a compact, optimisable representation for dense visual SLAM,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
A jointly trained image-point-cloud network estimates category-level 6D pose and 3D shape from a single RGB image, reporting better results than the closest prior work CPS on most NOCS benchmarks.