activity
20182026
most citedPoint Transformer V2: Grouped Vector Attention and Partition-based Pooling

195 citations · 304 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry

Zheng Zhang, Lihe Yang, Tianyu Yang +6

We present SCOPE (Scale-Consistent One-Pass Estimation of 3D Geometry), a novel approach for estimating 3D geometry from extended monocular video sequences, where existing methods…

cs.CV2025

Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

Yujia Zhang, Xiaoyang Wu, Yixing Lao +4

Humans learn abstract concepts through multisensory synergy, and once formed, such representations can often be recalled from a single modality. Inspired by this principle, we intr…

cs.CV20242 cited

Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting

Zheng Zhang, Wenbo Hu, Yixing Lao +2

3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis results while advancing real-time rendering performance. However, it relies heavily on the quality of…

cs.CV2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis

Tao Tang, Guangrun Wang, Yixing Lao +5

Neural implicit fields have been a de facto standard in novel view synthesis. Recently, there exist some methods exploring fusing multiple modalities within a single field, aiming…

cs.CV20242 cited

Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting

Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda +6

Reconstructing an object from photos and placing it virtually in a new environment goes beyond the standard novel view synthesis task as the appearance of the object has to not onl…

cs.CV2023

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields

Yixing Lao, Xiaogang Xu, Zhipeng Cai +2

Neural Radiance Fields (NeRFs) have achieved impressive results in novel view synthesis and surface reconstruction tasks. However, their performance suffers under challenging scena…