activity
20152023
most citedMirror-NeRF: Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing

31 citations · 280 across the 41 of their papers we have counts for

collaborators
Showing 2022Show all

13 papers · 1 filter

cs.CV2022★ 15 cited

RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging

Heng Li, Zhaopeng Cui, Shuaicheng Liu +1

This paper proposes a deep recurrent Rotation Averaging Graph Optimizer (RAGO) for Multiple Rotation Averaging (MRA). Conventional optimization-based methods usually fail to produc…

cs.CV2022★ 10 cited

Generative Category-Level Shape and Pose Estimation with Semantic Primitives

Guanglin Li, Yifeng Li, Zhichao Ye +4

Empowering autonomous agents with 3D understanding for daily objects is a grand challenge in robotics applications. When exploring in an unknown environment, existing methods for o…

cs.CV2022★ 2 cited

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis

Weicai Ye, Shuo Chen, Chong Bao +4

Existing inverse rendering combined with neural rendering methods can only perform editable novel view synthesis on object-specific scenes, while we present intrinsic neural radian…

cs.CV2022★ 4 cited

DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image

Yijin Li, Xinyang Liu, Wenqi Dong +5

Light-weight time-of-flight (ToF) depth sensors are small, cheap, low-energy and have been massively deployed on mobile devices for the purposes like autofocus, obstacle detection,…

cs.CV2022★ 22 cited

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

Bangbang Yang, Chong Bao, Junyi Zeng +4

Very recently neural implicit rendering techniques have been rapidly evolved and shown great advantages in novel view synthesis and 3D scene reconstruction. However, existing neura…

cs.CV2022

CompNVS: Novel View Synthesis with Scene Completion

Zuoyue Li, Tianxing Fan, Zhenqiang Li +4

We introduce a scalable framework for novel view synthesis from RGB-D images with largely incomplete scene coverage. While generative neural approaches have demonstrated spectacula…

cs.CV2022★ 18 cited

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation

Boming Zhao, Bangbang Yang, Zhenyang Li +6

Expanding an existing tourist photo from a partially captured scene to a full scene is one of the desired experiences for photography applications. Although photo extrapolation has…

cs.CV2022★ 11 cited

DFlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance

Xingyuan Yu, Weicai Ye, Xiyue Guo +5

In this paper, we introduce a self-supervised deep SLAM method that robustly operates in dynamic scenes while accurately identifying dynamic components. Our method leverages a dual…

cs.CV2022★ 1 cited

PVO: Panoptic Visual Odometry

Weicai Ye, Xinyue Lan, Shuo Chen +5

We present PVO, a novel panoptic visual odometry framework to achieve more comprehensive modeling of the scene motion, geometry, and panoptic segmentation information. Our PVO mode…

cs.CV2022★ 3 cited

TC-SfM: Robust Track-Community-Based Structure-from-Motion

Lei Wang, Linlin Ge, Shan Luo +3

Structure-from-Motion (SfM) aims to recover 3D scene structures and camera poses based on the correspondences between input images, and thus the ambiguity caused by duplicate struc…

cs.CV2022★ 17 cited

Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects

Bangbang Yang, Yinda Zhang, Yijin Li +4

We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints given a single image, whereas this is still a grand challenge for computers. We hereby pr…

cs.CV2022★ 21 cited

FD-SLAM: 3-D Reconstruction Using Features and Dense Matching

Xingrui Yang, Yuhang Ming, Zhaopeng Cui +1

It is well known that visual SLAM systems based on dense matching are locally accurate but are also susceptible to long-term drift and map corruption. In contrast, feature matching…

cs.CV2022★ 2 cited

Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation

Weicai Ye, Xinyue Lan, Ge Su +3

Video Panoptic Segmentation (VPS) aims to generate coherent panoptic segmentation and track the identities of all pixels across video frames. Existing methods predominantly utilize…