activity
20242026
most citedEnhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

19 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and Perception

Qin Guo, Hao Luo, Dongxu Yue +4

Recent advances in diffusion models have shown impressive performance in controllable image generation and dense prediction tasks. However, existing approaches typically treat diff…

cs.CV2025

JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on

Aowen Wang, Wei Li, Hao Luo +4

Virtual try-on systems have long been hindered by heavy reliance on human body masks, limited fine-grained control over garment attributes, and poor generalization to real-world, i…

cs.CV2024

Coherent Video Inpainting Using Optical Flow-Guided Efficient Diffusion

Bohai Gu, Hao Luo, Song Guo +2

The text-guided video inpainting technique has significantly improved the performance of content generation applications. A recent family for these improvements uses diffusion mode…

cs.CV2024

Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras

Zimu Liao, Siyan Chen, Rong Fu +9

Recently, 3D Gaussian Splatting (3DGS) has garnered attention for its high fidelity and real-time rendering. However, adapting 3DGS to different camera models, particularly fisheye…

cs.CV2024★ 19 cited

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang +2

Existing hyperspectral image (HSI) super-resolution (SR) methods struggle to effectively capture the complex spectral-spatial relationships and low-level details, while diffusion m…