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04/24/2023
TensoIR: Tensorial Inverse Rendering
We propose TensoIR, a novel inverse rendering approach based on tensor f...
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03/10/2023
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
We present MovingParts, a NeRF-based method for dynamic scene reconstruc...
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03/06/2023
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision
We address efficient and structure-aware 3D scene representation from im...
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03/21/2022
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
While NeRF has shown great success for neural reconstruction and renderi...
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03/16/2022
Metaverse Native Communication: A Blockchain and Spectrum Prospective
Metaverse depicts a vista of constructing a virtual environment parallel...
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01/28/2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
In this paper, we focus on the simulation of active stereovision depth s...
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12/06/2021
ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation
Traditional depth sensors generate accurate real world depth estimates t...
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10/06/2021
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Controllable generative sequence models with the capability to extract a...
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03/29/2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
We present MVSNeRF, a novel neural rendering approach that can efficient...
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07/17/2020
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
We are interested in reconstructing the mesh representation of object su...
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09/10/2019
Disentangled Image Matting
Most previous image matting methods require a roughly-specificed trimap ...
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09/09/2019
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction
We present a comprehensive study and evaluation of existing single image...
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04/24/2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Machine learning has been widely applied to various applications, some o...
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01/28/2019
Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhanceme...
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06/08/2018
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal
JPEG is one of the most commonly used standards among lossy image compre...
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05/20/2018
