activity
20232026
most citedLocalized Gaussian Splatting Editing with Contextual Awareness

6 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

XDG: Accelerated Visual Disambiguation

Gonglin Chen, Ben Southall, Hanyuan Xiao +8

Visual aliasing, also known as the doppelganger problem, remains a key challenge for structure-from-motion (SfM): visually similar but physically distinct surfaces can produce inco…

cs.CV2025

Mind-to-Face: Neural-Driven Photorealistic Avatar Synthesis via EEG Decoding

Haolin Xiong, Tianwen Fu, Pratusha Bhuvana Prasad +5

Current expressive avatar systems rely heavily on visual cues, failing when faces are occluded or when emotions remain internal. We present Mind-to-Face, the first framework that d…

cs.CV2025★ 1 cited

RDD: Robust Feature Detector and Descriptor using Deformable Transformer

Gonglin Chen, Tianwen Fu, Haiwei Chen +3

As a core step in structure-from-motion and SLAM, robust feature detection and description under challenging scenarios such as significant viewpoint changes remain unresolved despi…

cs.CV2024★ 6 cited

Localized Gaussian Splatting Editing with Contextual Awareness

Hanyuan Xiao, Yingshu Chen, Huajian Huang +4

Recent text-guided generation of individual 3D object has achieved great success using diffusion priors. However, these methods are not suitable for object insertion and replacemen…

cs.CV2023★ 5 cited

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +4

3D Gaussian Splatting (3DGS) has recently enabled real-time rendering of unbounded 3D scenes for novel view synthesis. However, this technique requires dense training views to accu…

cs.CV2023★ 1 cited

Light Sampling Field and BRDF Representation for Physically-based Neural Rendering

Jing Yang, Hanyuan Xiao, Wenbin Teng +2

Physically-based rendering (PBR) is key for immersive rendering effects used widely in the industry to showcase detailed realistic scenes from computer graphics assets. A well-know…