Ruofan Liang

According to our database, Ruofan Liang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting.

Chen Yang, Sikuang Li, Jiemin Fang, Ruofan Liang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

ACM Trans. Graph., December, 2024

DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots.

Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, Nandita Vijaykumar

CoRR, 2024

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting.

Chen Yang, Sikuang Li, Jiemin Fang, Ruofan Liang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

CoRR, 2024

DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines.

Sankeerth Durvasula, Adrian Zhao, Fan Chen, Ruofan Liang, Pawan Kumar Sanjaya, Nandita Vijaykumar

CoRR, 2024

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering.

Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Operator Fusion in XLA: Analysis and Evaluation.

Daniel Snider, Ruofan Liang

CoRR, 2023

ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting.

Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

SPIDR: SDF-based Neural Point Fields for Illumination and Deformation.

Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Nandita Vijaykumar

CoRR, 2022

A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs.

Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun

CoRR, 2022

CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture.

Ruofan Liang, Hongyi Sun, Nandita Vijaykumar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Knowledge Consistency between Neural Networks and Beyond.

Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Knowledge Isomorphism between Neural Networks.

Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang

CoRR, 2019