activity
20212026
most citedSINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

From Distances to Trajectories: Real-Time Signed Distance Function Mapping and Distance-Accelerated Motion Planning for UAVs

Jason Stanley, Zhirui Dai, Qihao Qian +6

Autonomous flight in cluttered environments requires a robot to build a geometric map of its surroundings and plan safe, dynamically feasible trajectories, all onboard and in real…

cs.RO2026

Kernel-SDF: An Open-Source Library for Real-Time Signed Distance Function Estimation using Kernel Regression

Zhirui Dai, Tianxing Fan, Mani Amani +4

Accurate and efficient scene representation is crucial for robotic tasks such as motion planning, manipulation, and navigation. Signed distance functions (SDFs) have emerged as a p…

cs.RO2025

OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping

Zhirui Dai, Qihao Qian, Tianxing Fan +1

Reconstructing signed distance functions (SDFs) from point cloud data benefits many robot autonomy capabilities, including localization, mapping, motion planning, and control. Meth…

cs.CV2024★ 1 cited

MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds

Ziqiang Dang, Tianxing Fan, Boming Zhao +4

Incorporating temporal information effectively is important for accurate 3D human motion estimation and generation which have wide applications from human-computer interaction to A…

cs.CV2023★ 2 cited

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…

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.CV2021

LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies

Sandro Lombardi, Bangbang Yang, Tianxing Fan +4

3D representation and reconstruction of human bodies have been studied for a long time in computer vision. Traditional methods rely mostly on parametric statistical linear models,…