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20212026
most citedPAPR: Proximity Attention Point Rendering

3 citations · 3 across the 6 of their papers we have counts for

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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.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.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

CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis

Shichong Peng, Alireza Moazeni, Ke Li

A persistent challenge in conditional image synthesis has been to generate diverse output images from the same input image despite only one output image being observed per input im…

cs.CV2021

Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis

Shichong Peng, Alireza Moazeni, Ke Li

Deep generative models such as GANs have driven impressive advances in conditional image synthesis in recent years. A persistent challenge has been to generate diverse versions of…