Search Results for author: Yihang Luo

Found 7 papers, 6 papers with code

3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement

no code implementations24 Dec 2024 Yihang Luo, Shangchen Zhou, Yushi Lan, Xingang Pan, Chen Change Loy

Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inherent limitations of multi-view diffusion models, view synthesis and 3D model generation are restricted to low resolutions with suboptimal multi-view consistency.

Data Augmentation Neural Rendering

Tests of thermal macroeconomic theory on simulated micro-economies

1 code implementation27 Oct 2024 Yihang Luo, R. S. MacKay, Nick Chater

In this paper, we test predictions of a new theory of macroeconomics, called "thermal macroeconomics."

Paint Bucket Colorization Using Anime Character Color Design Sheets

1 code implementation25 Oct 2024 Yuekun Dai, Qinyue Li, Shangchen Zhou, Yihang Luo, Chongyi Li, Chen Change Loy

This process, often called paint bucket colorization, involves two main tasks: keyframe colorization, where colors are applied according to the character's color design sheet, and consecutive frame colorization, where these colors are replicated across adjacent frames.

Line Art Colorization

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

2 code implementations CVPR 2024 Shangchen Zhou, Peiqing Yang, Jianyi Wang, Yihang Luo, Chen Change Loy

Text-based diffusion models have exhibited remarkable success in generation and editing, showing great promise for enhancing visual content with their generative prior.

Decoder Video Super-Resolution

Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond

1 code implementation7 Jun 2023 Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yihang Luo, Chen Change Loy

To address this issue, we additionally provide the annotations of light sources in Flare7K++ and propose a new end-to-end pipeline to preserve the light source while removing lens flares.

Flare Removal

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

1 code implementation28 Sep 2022 Tianhao Wu, Boyang Li, Yihang Luo, Yingqian Wang, Chao Xiao, Ting Liu, Jungang Yang, Wei An, Yulan Guo

Due to the extremely large image coverage area (e. g., thousands square kilometers), candidate targets in these images are much smaller, dimer, more changeable than those targets observed by aerial-based and land-based imaging devices.

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