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cs.CV2025
Semantic segmentation with reward
Xie Ting, Ye Huang, Zhilin Liu +1
In real-world scenarios, pixel-level labeling is not always available. Sometimes, we need a semantic segmentation network, and even a visual encoder can have a high compatibility,…
cs.CV2025
VPNeXt -- Rethinking Dense Decoding for Plain Vision Transformer
Xikai Tang, Ye Huang, Guangqiang Yin +1
We present VPNeXt, a new and simple model for the Plain Vision Transformer (ViT). Unlike the many related studies that share the same homogeneous paradigms, VPNeXt offers a fresh p…
cs.CV2025
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Zixi Liang, Guowei Xu, Haifeng Wu +3
Learning-based methods have become increasingly popular in 3D indoor scene synthesis (ISS), showing superior performance over traditional optimization-based approaches. These learn…