Peihao Wang

papers

788

total citations

papers (20)

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

NEURIPS 2022arXiv

citations

Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations

CVPR 2022arXiv

citations

Signal Processing for Implicit Neural Representations

NEURIPS 2022arXiv

citations

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

CVPR 2024arXiv

citations

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts

ICCV 2023arXiv

citations

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

NEURIPS 2022arXiv

citations

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D

CVPR 2024arXiv

citations

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

NEURIPS 2021arXiv

citations

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

ICLR 2025arXiv

citations

Steepest Descent Density Control for Compact 3D Gaussian Splatting

CVPR 2025arXiv

citations

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

NEURIPS 2025arXiv

citations

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

CVPR 2025arXiv

citations

CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy

ICCV 2025arXiv

citations

SAS: Simulated Attention Score

NEURIPS 2025arXiv

citations

Vision HGNN: An Image is More than a Graph of Nodes

ICCV 2023

citations

NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views

CVPR 2023

citations

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings

CVPR 2022

citations

Peihao Wang

papers (20)

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Unified Implicit Neural Stylization

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations

Signal Processing for Implicit Neural Representations

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

Steepest Descent Density Control for Compact 3D Gaussian Splatting

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy

SAS: Simulated Attention Score

Vision HGNN: An Image is More than a Graph of Nodes

NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings

papers (20)

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Unified Implicit Neural Stylization

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking

Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations

Signal Processing for Implicit Neural Representations

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

Steepest Descent Density Control for Compact 3D Gaussian Splatting

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy

SAS: Simulated Attention Score

Vision HGNN: An Image is More than a Graph of Nodes

NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings