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20192025
most citedLearning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles

3 citations · 10 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Learning Part Segmentation from Synthetic Animals

Jiawei Peng, Ju He, Prakhar Kaushik +3

Semantic part segmentation provides an intricate and interpretable understanding of an object, thereby benefiting numerous downstream tasks. However, the need for exhaustive annota…

cs.CV2023★ 2 cited

ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs

Jiteng Mu, Shen Sang, Nuno Vasconcelos +1

While NeRF-based human representations have shown impressive novel view synthesis results, most methods still rely on a large number of images / views for training. In this work, w…