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20222025
most citedModeling Indirect Illumination for Inverse Rendering

7 citations · 18 across the 10 of their papers we have counts for

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11 papers · 1 filter

cs.CV20251 cited

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, Hongyu Zhou, Sida Peng +13

Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR…

cs.CV2025

BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation

Yuanhong Yu, Xingyi He, Chen Zhao +7

This paper presents a generalizable RGB-based approach for object pose estimation, specifically designed to address challenges in sparse-view settings. While existing methods can e…

cs.CV20252 cited

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Xingyi He, Hao Yu, Sida Peng +4

Image matching, which aims to identify corresponding pixel locations between images, is crucial in a wide range of scientific disciplines, aiding in image registration, fusion, and…

cs.CV20243 cited

Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed

Yifan Wang, Xingyi He, Sida Peng +2

We present a novel method for efficiently producing semi-dense matches across images. Previous detector-free matcher LoFTR has shown remarkable matching capability in handling larg…

cs.CV20232 cited

Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes

Haotong Lin, Sida Peng, Zhen Xu +4

This paper aims to tackle the challenge of dynamic view synthesis from multi-view videos. The key observation is that while previous grid-based methods offer consistent rendering,…

cs.CV20233 cited

SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator

Zhe Zhu, Honghua Chen, Xing He +3

In this paper, we propose a novel network, SVDFormer, to tackle two specific challenges in point cloud completion: understanding faithful global shapes from incomplete point clouds…