Search Results for author: Yu-Lun Liu

Found 18 papers, 12 papers with code

Improving Robustness for Joint Optimization of Camera Poses and Decomposed Low-Rank Tensorial Radiance Fields

1 code implementation20 Feb 2024 Bo-Yu Cheng, Wei-Chen Chiu, Yu-Lun Liu

In this paper, we propose an algorithm that allows joint refinement of camera pose and scene geometry represented by decomposed low-rank tensor, using only 2D images as supervision.

Novel View Synthesis

HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses

no code implementations4 Dec 2023 Caoyuan Ma, Yu-Lun Liu, Zhixiang Wang, Wu Liu, Xinchen Liu, Zheng Wang

We present HumanNeRF-SE, which can synthesize diverse novel pose images with simple input.

Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction

no code implementations ICCV 2023 Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin

To address this, we propose the continuous exposure value representation (CEVR), which uses an implicit function to generate LDR images with arbitrary EVs, including those unseen during training.

HDR Reconstruction

ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection

no code implementations ICCV 2023 Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun

The results demonstrate that ImGeoNet outperforms the current state-of-the-art multi-view image-based method, ImVoxelNet, on all three datasets in terms of detection accuracy.

3D Object Detection object-detection

Dual Associated Encoder for Face Restoration

1 code implementation14 Aug 2023 Yu-Ju Tsai, Yu-Lun Liu, Lu Qi, Kelvin C. K. Chan, Ming-Hsuan Yang

Restoring facial details from low-quality (LQ) images has remained a challenging problem due to its ill-posedness induced by various degradations in the wild.

DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs

no code implementations23 Feb 2023 Zhixiang Wang, Yu-Lun Liu, Jia-Bin Huang, Shin'ichi Satoh, Sizhuo Ma, Gurunandan Krishnan, Jian Wang

Close-up facial images captured at short distances often suffer from perspective distortion, resulting in exaggerated facial features and unnatural/unattractive appearances.

Scheduling

Robust Dynamic Radiance Fields

1 code implementation CVPR 2023 Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.

Denoising Likelihood Score Matching for Conditional Score-based Data Generation

2 code implementations ICLR 2022 Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

These methods facilitate the training procedure of conditional score models, as a mixture of scores can be separately estimated using a score model and a classifier.

Image Generation

Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision

1 code implementation ICCV 2021 Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou

In this paper, we propose a method to estimate not only a depth map but an AiF image from a set of images with different focus positions (known as a focal stack).

Depth Estimation

Hybrid Neural Fusion for Full-frame Video Stabilization

2 code implementations ICCV 2021 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

Existing video stabilization methods often generate visible distortion or require aggressive cropping of frame boundaries, resulting in smaller field of views.

Video Stabilization

Explorable Tone Mapping Operators

no code implementations20 Oct 2020 Chien-Chuan Su, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Soo-Chang Pei

It aims to preserve visual information of HDR images in a medium with a limited dynamic range.

Tone Mapping

Learning Camera-Aware Noise Models

1 code implementation ECCV 2020 Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen

Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications.

Noise Estimation

Learning to See Through Obstructions with Layered Decomposition

1 code implementation11 Aug 2020 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions, or adherent raindrops, from a short sequence of images captured by a moving camera.

Optical Flow Estimation

Learning to See Through Obstructions

1 code implementation CVPR 2020 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions or raindrops, from a short sequence of images captured by a moving camera.

Optical Flow Estimation Reflection Removal

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