activity
20222026
most citedSpatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Bridging Event Streams and DiT: Event-Guided Video Frame Interpolation

Guixu Lin, Yuyang Yu, Xiang Ji +6

Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling large temporal gaps and complex…

cs.CV2024

360VFI: A Dataset and Benchmark for Omnidirectional Video Frame Interpolation

Wenxuan Lu, Mengshun Hu, Yansheng Qiu +2

Head-mounted 360° displays and portable 360° cameras have significantly progressed, providing viewers a realistic and immersive experience. However, many omnidirectional videos hav…

cs.CV2023

NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework

Yuan Tong, Mengshun Hu, Zheng Wang

We present NNVISR - an open-source filter plugin for the VapourSynth video processing framework, which facilitates the application of neural networks for various kinds of video enh…

cs.CV2022★ 1 cited

You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution

Mengshun Hu, Kui Jiang, Zhixiang Nie +1

Spatial-Temporal Video Super-Resolution (ST-VSR) technology generates high-quality videos with higher resolution and higher frame rates. Existing advanced methods accomplish ST-VSR…

cs.CV2022★ 2 cited

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Mengshun Hu, Kui Jiang, Liang Liao +3

Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-resolved videos with higher resolution(HR) and higher frame rate (HFR). Quite intuitively, pioneering two-st…