activity
20212026
most citedEditable Free-viewpoint Video Using a Layered Neural Representation

80 citations · 89 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CV2026

P-CORE: Self-Supervised Surface Consistency for Point-Based Neural Editing

Yanshu Zhang, Shichong Peng, Mehran Aghabozorgi +2

Advances in neural rendering have enabled high-fidelity multi-view reconstruction of 3D scenes. However, free-form non-rigid shape editing remains a significant challenge. Point-ba…

cs.CV2026

PointGT: Simultaneous Geometry and Texture Editing for Point-Based Representations

Yanshu Zhang, George Shramko, Pratul P. Srinivasan +1

We present PointGT, a point-based 3D representation that enables simultaneous editing of object geometry and appearance. Existing reconstruction and view synthesis techniques produ…

cs.CV2026

RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Fixed-Viewpoint Video

Shichong Peng, Yanshu Zhang, Ke Li

Static neural point reconstructions capture a subject at high fidelity from posed images. Given such a reconstruction, we aim to animate it to follow a monocular fixed-viewpoint dr…

cs.LG2026

WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control

Mehran Aghabozorgi, Alireza Moazeni, Yanshu Zhang +1

Model-based reinforcement learning promises strong sample efficiency but often underperforms in practice due to compounding model error, unimodal world models that average over mul…

math.NA2026

Geometric Generalization of Neural Operators from a Kernel Integral Perspective

Mingyu Han, Daniel Zhengyu Huang, Yuhan Wang +2

Neural operators are neural network-based surrogate models for approximating partial differential equation solution operators, enabling efficient many-query computations in science…

math.NA2025

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries

Chenyu Zeng, Yanshu Zhang, Jiayi Zhou +5

Surrogate models are critical for accelerating computationally expensive simulations in science and engineering, particularly for solving parametric partial differential equations…

cs.CV2024★ 1 cited

CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings

Fuyi Yang, Jiazuo Mu, Yanshun Zhang +7

We introduce CADSpotting, an effective method for panoptic symbol spotting in large-scale architectural CAD drawings. Existing approaches often struggle with symbol diversity, scal…

cs.CV2024

Intrinsic PAPR: Tackling Misattribution in 3D Intrinsic Decomposition via Proximity Attention Point Rendering

Alireza Moazeni, Shichong Peng, Yanshu Zhang +2

Recent point-based intrinsic decomposition and inverse rendering methods have advanced the modelling of the shading and albedo of 3D scenes. However, we identify a fundamental limi…

cs.CV2024★ 1 cited

PAPR in Motion: Seamless Point-level 3D Scene Interpolation

Shichong Peng, Yanshu Zhang, Ke Li

We propose the problem of point-level 3D scene interpolation, which aims to simultaneously reconstruct a 3D scene in two states from multiple views, synthesize smooth point-level i…

cs.CV2023★ 3 cited

PAPR: Proximity Attention Point Rendering

Yanshu Zhang, Shichong Peng, Alireza Moazeni +1

Learning accurate and parsimonious point cloud representations of scene surfaces from scratch remains a challenge in 3D representation learning. Existing point-based methods often…

cs.CV2022★ 4 cited

Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time

Liao Wang, Jiakai Zhang, Xinhang Liu +6

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can…

cs.CV2021★ 80 cited

Editable Free-viewpoint Video Using a Layered Neural Representation

Jiakai Zhang, Xinhang Liu, Xinyi Ye +6

Generating free-viewpoint videos is critical for immersive VR/AR experience but recent neural advances still lack the editing ability to manipulate the visual perception for large…