2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023
High-Resolution Volumetric Reconstruction for Clothed Humans
Sicong Tang, Guangyuan Wang, Qing Ran +3
We present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1 to 6 RGB images. Despite impressive results from recent works employing deep implicit repr…
cs.CV2022★ 2 cited
Decoupling Makes Weakly Supervised Local Feature Better
Kunhong Li, Longguang Wang, Li Liu +3
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences. However, since weak supe…
cs.CV2021★ 1 cited
ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
Isabella Liu, Edward Yang, Jianyu Tao +5
Traditional depth sensors generate accurate real world depth estimates that surpass even the most advanced learning approaches trained only on simulation domains. Since ground trut…