Search Results for author: Lele Chen

Found 23 papers, 11 papers with code

Monocular 3D Object Detection via Feature Domain Adaptation

no code implementations ECCV 2020 Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu

Monocular 3D object detection is a challenging task due to unreliable depth, resulting in a distinct performance gap between monocular and LiDAR-based approaches.

Domain Adaptation Foreground Segmentation +3

Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation

no code implementations3 Mar 2024 Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan

Then, we calculate the Area Under the Curve (AUC) difference between the two spectrums, so that each frequency band that captures either the overall or detailed shape is equitably considered.

Tri$^{2}$-plane: Volumetric Avatar Reconstruction with Feature Pyramid

1 code implementation17 Jan 2024 Luchuan Song, Pinxin Liu, Lele Chen, Celong Liu, Chenliang Xu

Recent years have witnessed considerable achievements in facial avatar reconstruction with neural volume rendering.

NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions

1 code implementation ICCV 2023 Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu

The spatial positions of their neural features are fixed on grid nodes and cannot well adapt to target signals.

Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting

1 code implementation ICCV 2023 Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong

In this paper, we set up an egocentric 3D hand trajectory forecasting task that aims to predict hand trajectories in a 3D space from early observed RGB videos in a first-person view.

3D Human Pose Tracking Trajectory Forecasting +1

MyStyle++: A Controllable Personalized Generative Prior

no code implementations8 Jun 2023 Libing Zeng, Lele Chen, Yi Xu, Nima Kalantari

In this paper, we propose an approach to obtain a personalized generative prior with explicit control over a set of attributes.

Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis

1 code implementation15 Mar 2023 Liangchen Song, Zhong Li, Xuan Gong, Lele Chen, Zhang Chen, Yi Xu, Junsong Yuan

We further propose a simple-yet-effective strategy for tuning the frequency to avoid overfitting few-shot inputs: enforcing consistency among the frequency domain of rendered 2D images.

Novel View Synthesis

High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation

no code implementations CVPR 2021 Lele Chen, Chen Cao, Fernando de la Torre, Jason Saragih, Chenliang Xu, Yaser Sheikh

This paper addresses previous limitations by learning a deep learning lighting model, that in combination with a high-quality 3D face tracking algorithm, provides a method for subtle and robust facial motion transfer from a regular video to a 3D photo-realistic avatar.

Vocal Bursts Intensity Prediction

Talking-head Generation with Rhythmic Head Motion

1 code implementation16 Jul 2020 Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu

When people deliver a speech, they naturally move heads, and this rhythmic head motion conveys prosodic information.

Talking Head Generation

What comprises a good talking-head video generation?: A Survey and Benchmark

1 code implementation7 May 2020 Lele Chen, Guofeng Cui, Ziyi Kou, Haitian Zheng, Chenliang Xu

In this work, we present a carefully-designed benchmark for evaluating talking-head video generation with standardized dataset pre-processing strategies.

Talking Head Generation Video Generation

TailorGAN: Making User-Defined Fashion Designs

2 code implementations17 Jan 2020 Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh, Chenliang Xu

To overcome those limitations, we propose a novel self-supervised model to synthesize garment images with disentangled attributes (e. g., collar and sleeves) without paired data.

Attribute

Unsupervised Pose Flow Learning for Pose Guided Synthesis

no code implementations30 Sep 2019 Haitian Zheng, Lele Chen, Chenliang Xu, Jiebo Luo

Pose guided synthesis aims to generate a new image in an arbitrary target pose while preserving the appearance details from the source image.

Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

no code implementations CVPR 2019 Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

We devise a cascade GAN approach to generate talking face video, which is robust to different face shapes, view angles, facial characteristics, and noisy audio conditions.

Talking Face Generation

Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss

1 code implementation9 May 2019 Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

We devise a cascade GAN approach to generate talking face video, which is robust to different face shapes, view angles, facial characteristics, and noisy audio conditions.

Lip Movements Generation at a Glance

1 code implementation ECCV 2018 Lele Chen, Zhiheng Li, Ross K. Maddox, Zhiyao Duan, Chenliang Xu

In this paper, we consider a task of such: given an arbitrary audio speech and one lip image of arbitrary target identity, generate synthesized lip movements of the target identity saying the speech.

MRI Tumor Segmentation with Densely Connected 3D CNN

3 code implementations18 Jan 2018 Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismuller, Chenliang Xu

The major difficulty of our segmentation model comes with the fact that the location, structure, and shape of gliomas vary significantly among different patients.

Tumor Segmentation

Deep Cross-Modal Audio-Visual Generation

no code implementations26 Apr 2017 Lele Chen, Sudhanshu Srivastava, Zhiyao Duan, Chenliang Xu

Being the first to explore this new problem, we compose two new datasets with pairs of images and sounds of musical performances of different instruments.

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