Search Results for author: Chenming Wu

Found 23 papers, 7 papers with code

Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis

no code implementations21 Feb 2025 Ziqian Ni, Sicong Du, Zhenghua Hou, Chenming Wu, Sheng Yang

To evaluate end-to-end autonomous driving systems, a simulation environment based on Novel View Synthesis (NVS) techniques is essential, which synthesizes photo-realistic images and point clouds from previously recorded sequences under new vehicle poses, particularly in cross-lane scenarios.

3DGS Autonomous Driving +3

Splatter-360: Generalizable 360$^{\circ}$ Gaussian Splatting for Wide-baseline Panoramic Images

1 code implementation9 Dec 2024 Zheng Chen, Chenming Wu, Zhelun Shen, Chen Zhao, Weicai Ye, Haocheng Feng, Errui Ding, Song-Hai Zhang

Wide-baseline panoramic images are frequently used in applications like VR and simulations to minimize capturing labor costs and storage needs.

3DGS NeRF

TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting

1 code implementation29 Nov 2024 Bojun Xiong, Jialun Liu, Jiakui Hu, Chenming Wu, Jinbo Wu, Xing Liu, Chen Zhao, Errui Ding, Zhouhui Lian

Physically Based Rendering (PBR) materials play a crucial role in modern graphics, enabling photorealistic rendering across diverse environment maps.

Denoising Image Generation

DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes

no code implementations19 Nov 2024 Hao Li, Yuanyuan Gao, Haosong Peng, Chenming Wu, Weicai Ye, Yufeng Zhan, Chen Zhao, Dingwen Zhang, Jingdong Wang, Junwei Han

This paper presents DGTR, a novel distributed framework for efficient Gaussian reconstruction for sparse-view vast scenes.

Novel View Synthesis

Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video

no code implementations21 Jul 2024 Yiqun Zhao, Chenming Wu, Binbin Huang, YiHao Zhi, Chen Zhao, Jingdong Wang, Shenghua Gao

Efficient and accurate reconstruction of a relightable, dynamic clothed human avatar from a monocular video is crucial for the entertainment industry.

Disentanglement Inverse Rendering

XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis

no code implementations26 Jun 2024 Hao Li, Ming Yuan, Yan Zhang, Chenming Wu, Chen Zhao, Chunyu Song, Haocheng Feng, Errui Ding, Dingwen Zhang, Jingdong Wang

To address this, this paper presents a novel driving view synthesis dataset and benchmark specifically designed for autonomous driving simulations.

Autonomous Driving Benchmarking

VDG: Vision-Only Dynamic Gaussian for Driving Simulation

no code implementations26 Jun 2024 Hao Li, Jingfeng Li, Dingwen Zhang, Chenming Wu, Jieqi Shi, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

Dynamic Gaussian splatting has led to impressive scene reconstruction and image synthesis advances in novel views.

Image Generation

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

no code implementations4 Jun 2024 Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang

To ensure robust feature presentation and 3D point-level understanding, we first employ SAM masks without cross-frame associations to train instance features with 3D consistency.

3DGS Object

HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes

no code implementations29 Mar 2024 Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang

The rapid growth of 3D Gaussian Splatting (3DGS) has revolutionized neural rendering, enabling real-time production of high-quality renderings.

3DGS Autonomous Driving +1

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

no code implementations22 Mar 2024 Jinbo Wu, Xing Liu, Chenming Wu, Xiaobo Gao, Jialun Liu, Xinqi Liu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

We propose an optimal viewpoint selection strategy, that finds the most miniature set of viewpoints covering all the faces of a mesh.

Denoising Texture Synthesis

GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time

no code implementations15 Mar 2024 Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

Specifically, we design a novel joint learning framework that consists of an Iterative Pose Optimization Network (IPO-Net) and a Generalizable 3D-Gaussians (G-3DG) model.

Generalizable Novel View Synthesis NeRF +1

GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos

no code implementations26 Feb 2024 Xinqi Liu, Chenming Wu, Jialun Liu, Xing Liu, Jinbo Wu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA).

Novel View Synthesis Pose Estimation

A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification

no code implementations CVPR 2024 Zexian Yang, Dayan Wu, Chenming Wu, Zheng Lin, Jingzi Gu, Weiping Wang

Whiteness the impressive capabilities in multimodal understanding of Vision Language Foundation Model CLIP a recent two-stage CLIP-based method employs automated prompt engineering to obtain specific textual labels for classifying pedestrians.

Attribute Person Re-Identification +1

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

1 code implementation8 Dec 2023 Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang

Our method achieves state-of-the-art performance in both relighting and novel view synthesis tasks among the recently proposed inverse rendering methods while achieving real-time rendering.

Disentanglement Inverse Rendering +1

DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes

no code implementations28 Nov 2023 Zhuopeng Li, Chenming Wu, Liangjun Zhang, Jianke Zhu

Despite the recent success of Neural Radiance Field (NeRF), it is still challenging to render large-scale driving scenes with long trajectories, particularly when the rendering quality and efficiency are in high demand.

Autonomous Driving Depth Estimation +2

Understanding In-Context Learning from Repetitions

1 code implementation30 Sep 2023 Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang

This paper explores the elusive mechanism underpinning in-context learning in Large Language Models (LLMs).

In-Context Learning Text Generation

Digging into Depth Priors for Outdoor Neural Radiance Fields

no code implementations8 Aug 2023 Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

However, the shape-radiance ambiguity of radiance fields remains a challenge, especially in the sparse viewpoints setting.

NeRF Novel View Synthesis

MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation

no code implementations27 Jul 2023 Chenming Wu, Jiadai Sun, Zhelun Shen, Liangjun Zhang

The key insight is that map information can be utilized as a prior to guiding the training of the radiance fields with uncertainty.

Autonomous Driving

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

1 code implementation11 Jul 2023 Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang

This paper presents a new method that uses scores provided by humans instead of pairwise preferences to improve the feedback efficiency of interactive reinforcement learning.

reinforcement-learning Reinforcement Learning

NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering

1 code implementation13 Jun 2023 Shi Mao, Chenming Wu, Zhelun Shen, Yifan Wang, Dayan Wu, Liangjun Zhang

This paper presents a method, namely NeuS-PIR, for recovering relightable neural surfaces using pre-integrated rendering from multi-view images or video.

Disentanglement NeRF

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection

1 code implementation29 Jan 2023 Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang

This setting results in two distinct domain gaps: scenarios and sensors, making it difficult to analyze and evaluate the method accurately.

3D Object Detection Autonomous Driving +2

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space

no code implementations29 Jun 2021 Jianhao Yan, Chenming Wu, Fandong Meng, Jie zhou

Current evaluation of an NMT system is usually built upon a heuristic decoding algorithm (e. g., beam search) and an evaluation metric assessing similarity between the translation and golden reference.

Data Augmentation Inductive Bias +3

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