activity
20232026
most citedAquatic-GS: A Hybrid 3D Representation for Underwater Scenes

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction

Hongkun Dou, Zike Chen, Fengji Li +2

Controllable generation with discrete diffusion models is often hindered by high computational overhead or the need for retraining. In this paper, we present \underline{\textbf{G}}…

cs.CV2026

Spatiotemporal Degradation-Aware 3D Gaussian Splatting for Realistic Underwater Scene Reconstruction

Shaohua Liu, Ning Gao, Zuoya Gu +3

Reconstructing realistic underwater scenes from underwater video remains a meaningful yet challenging task in the multimedia domain. The inherent spatiotemporal degradations in und…

cs.LG2026

Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes

Hongkun Dou, Zike Chen, Zeyu Li +3

Diffusion models have gained prominence as powerful generative tools for solving inverse problems due to their ability to model complex data distributions. However, existing method…

cs.CV2025

DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior

Junzhe Lu, Jing Lin, Hongkun Dou +8

We present DPoser-X, a diffusion-based prior model for 3D whole-body human poses. Building a versatile and robust full-body human pose prior remains challenging due to the inherent…

cs.CV2024★ 2 cited

Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes

Shaohua Liu, Junzhe Lu, Zuoya Gu +2

Representing underwater 3D scenes is a valuable yet complex task, as attenuation and scattering effects during underwater imaging significantly couple the information of the object…

physics.flu-dyn2024

Physics-aligned Schrödinger bridge

Zeyu Li, Hongkun Dou, Shen Fang +3

The reconstruction of physical fields from sparse measurements is pivotal in both scientific research and engineering applications. Traditional methods are increasingly supplemente…

cs.CV2023

DPoser: Diffusion Model as Robust 3D Human Pose Prior

Junzhe Lu, Jing Lin, Hongkun Dou +4

This work targets to construct a robust human pose prior. However, it remains a persistent challenge due to biomechanical constraints and diverse human movements. Traditional prior…