Guoxi Huang (Edward)

I am a Postdoctoral Research Associate at the University of Bristol, advised by Prof. Nantheera Anantrasirichai (Pui). I am a member of the Visual Information Laboratory and the Bristol Vision Institute, which are both led by Prof. David Bull. Prior to this, I was a Senior Research Engineer at Baidu Inc. My research focuses on image generation, low-level vision, image/video understanding and other computer vision topics.

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If you are interested in collaborating, please contact me via email at guoxi.huang [at] bristol.ac.uk

Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives

A Compact 3D Gaussian Splatting framework with Difference-of-Gaussian Primitives

Learning Fine-Grained Geometry for Sparse-View Splatting via Cascade Depth Loss

HDGS uses cascaded multi-scale depth supervision to improve sparse-view splatting geometry and reconstruction fidelity.

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement

An image enhancement model that can generate multiple enhanced images using Bayesian Neural Networks.

RUSplatting: Robust 3D Gaussian Splatting for Sparse-View Underwater Scene Reconstruction

A 3DGS for underwater scence rencostrction

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

A novel image generation framework capable of producing images from specified layouts and shapes.

BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement

A fully registered low-light video dataset.

Masked Image Residual Learning for Scaling Deeper Vision Transformers

A novel masked image modeling framework for pre-training vision transformers.

BQN: Busy-Quiet net enabled by motion band-pass module for action recognition

An efficient plug-and-play action recognition approach.