Peihao Wang
34 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
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CVPR (7)
ICLR (7)
ECCV (3)
ICCV (3)
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Top co-authors
Keywords
mixture of expert
(4)
novel view synthesis
(4)
graph neural network
(4)
3d reconstruction
(4)
neural radiance field
(4)
large language model
(3)
model compression
(3)
neural network
(3)
object detection
(2)
view synthesis
(2)
transfer learning
(2)
3d gaussian splatting
(2)
implicit neural representation
(2)
vision transformer
(2)
diffusion model
(2)
data efficiency
(2)
depth estimation
(2)
3d vision
(2)
attention mechanism
(1)
computer vision
(1)
Papers
Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models
AAAI 2026
CryoFastAR: Fast Cryo-EM Ab initio Reconstruction Made Easy
ICCV 2025
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
AISTATS 2025
Steepest Descent Density Control for Compact 3D Gaussian Splatting
CVPR 2025
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
ICLR 2025
Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
ICML 2025
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
CVPR 2025
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
CVPR 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D
NIPS 2024
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
ECCV 2024
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
NIPS 2024
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
ICLR 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
NIPS 2024
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
CVPR 2024
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views
CVPR 2023
Equivariant Hypergraph Diffusion Neural Operators
ICLR 2023
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
ICLR 2023
Learning to Grow Pretrained Models for Efficient Transformer Training
ICLR 2023
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
AAAI 2023
Data Efficient Neural Scaling Law via Model Reusing
ICML 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
NIPS 2023
Is Attention All That NeRF Needs?
ICLR 2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
ICCV 2023
Vision HGNN: An Image is More than a Graph of Nodes
ICCV 2023
Unified Implicit Neural Stylization
ECCV 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
NIPS 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
NIPS 2022
Signal Processing for Implicit Neural Representations
NIPS 2022
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings
CVPR 2022
Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations
CVPR 2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
ECCV 2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
ICLR 2022
Neural Implicit Dictionary Learning via Mixture-of-Expert Training
ICML 2022
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
NIPS 2021