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08/22/2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
Cross-scene generalizable NeRF models, which can directly synthesize nov...
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06/13/2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images
The accurate estimation of six degrees-of-freedom (6DoF) object poses is...
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05/25/2023
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
Despite the significant progress in six degrees-of-freedom (6DoF) object...
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04/25/2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Diffusion models are powerful, but they require a lot of time and data t...
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03/02/2023
Learning to Grow Pretrained Models for Efficient Transformer Training
Scaling transformers has led to significant breakthroughs in many domain...
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11/29/2022
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
Virtual reality and augmented reality (XR) bring increasing demand for 3...
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10/17/2022
Signal Processing for Implicit Neural Representations
Implicit Neural Representations (INRs) encoding continuous multi-media d...
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10/14/2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Despite the enormous success of Graph Convolutional Networks (GCNs) in m...
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10/14/2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Large-scale graph training is a notoriously challenging problem for grap...
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09/19/2022
NeRF-SOS: Any-View Self-supervised Object Segmentation from Complex Real-World Scenes
Neural volumetric representations have shown the potential that Multi-la...
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07/27/2022
Is Attention All NeRF Needs?
We present Generalizable NeRF Transformer (GNT), a pure, unified transfo...
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07/08/2022
Neural Implicit Dictionary via Mixture-of-Expert Training
Representing visual signals by coordinate-based deep fully-connected net...
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07/04/2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations
Neural Radiance Field (NeRF) regresses a neural parameterized scene by d...
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04/05/2022
Unified Implicit Neural Stylization
Representing visual signals by implicit representation (e.g., a coordina...
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04/02/2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
Despite the rapid development of Neural Radiance Field (NeRF), the neces...
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03/09/2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
Vision Transformer (ViT) has recently demonstrated promise in computer v...
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10/29/2021
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Multi-agent control is a central theme in the Cyber-Physical Systems (CP...
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10/14/2021
SoGCN: Second-Order Graph Convolutional Networks
Graph Convolutional Networks (GCN) with multi-hop aggregation is more ex...
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08/24/2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Training deep graph neural networks (GNNs) is notoriously hard. Besides ...
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04/04/2019
