110 citations · 925 across the 79 of their papers we have counts for
17 papers · 2 filters
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li, Han Zhou, Bangbang Yang +4
Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightn…
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
Xinyang Liu, Yijin Li, Yanbin Teng +4
Light-weight time-of-flight (ToF) depth sensors are compact and cost-efficient, and thus widely used on mobile devices for tasks such as autofocus and obstacle detection. However,…
Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng +5
This paper tackles the challenge of creating relightable and animatable neural avatars from sparse-view (or even monocular) videos of dynamic humans under unknown illumination. Com…
Mirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing
Junyi Zeng, Chong Bao, Rui Chen +4
Recently, Neural Radiance Fields (NeRF) has exhibited significant success in novel view synthesis, surface reconstruction, etc. However, since no physical reflection is considered…
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
Shangzan Zhang, Sida Peng, Yinji ShenTu +5
Recently, the editing of neural radiance fields (NeRFs) has gained considerable attention, but most prior works focus on static scenes while research on the appearance editing of d…
Detector-Free Structure from Motion
Xingyi He, Jiaming Sun, Yifan Wang +4
We propose a new structure-from-motion framework to recover accurate camera poses and point clouds from unordered images. Traditional SfM systems typically rely on the successful d…
Learning Human Mesh Recovery in 3D Scenes
Zehong Shen, Zhi Cen, Sida Peng +3
We present a novel method for recovering the absolute pose and shape of a human in a pre-scanned scene given a single image. Unlike previous methods that perform sceneaware mesh op…
AutoRecon: Automated 3D Object Discovery and Reconstruction
Yuang Wang, Xingyi He, Sida Peng +3
A fully automated object reconstruction pipeline is crucial for digital content creation. While the area of 3D reconstruction has witnessed profound developments, the removal of ba…
Representing Volumetric Videos as Dynamic MLP Maps
Sida Peng, Yunzhi Yan, Qing Shuai +2
This paper introduces a novel representation of volumetric videos for real-time view synthesis of dynamic scenes. Recent advances in neural scene representations demonstrate their…
I-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
Jingsen Zhu, Yuchi Huo, Qi Ye +8
In this work, we present I-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields…
SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao, Yinda Zhang, Bangbang Yang +5
Despite the great success in 2D editing using user-friendly tools, such as Photoshop, semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, ei…
CF-Font: Content Fusion for Few-shot Font Generation
Chi Wang, Min Zhou, Tiezheng Ge +3
Content and style disentanglement is an effective way to achieve few-shot font generation. It allows to transfer the style of the font image in a source domain to the style defined…
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation
Yijin Li, Zhaoyang Huang, Shuo Chen +5
Event cameras provide high temporal precision, low data rates, and high dynamic range visual perception, which are well-suited for optical flow estimation. While data-driven optica…
PATS: Patch Area Transportation with Subdivision for Local Feature Matching
Junjie Ni, Yijin Li, Zhaoyang Huang +4
Local feature matching aims at establishing sparse correspondences between a pair of images. Recently, detector-free methods present generally better performance but are not satisf…
Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Chen Geng, Sida Peng, Zhen Xu +2
This paper addresses the challenge of quickly reconstructing free-viewpoint videos of dynamic humans from sparse multi-view videos. Some recent works represent the dynamic human as…
EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
Zhichao Ye, Chong Bao, Xin Zhou +3
Structure-from-Motion is a technology used to obtain scene structure through image collection, which is a fundamental problem in computer vision. For unordered Internet images, SfM…
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He, Jiaming Sun, Yuang Wang +3
We propose a new method for object pose estimation without CAD models. The previous feature-matching-based method OnePose has shown promising results under a one-shot setting which…