3 citations · 3 across the 10 of their papers we have counts for
11 papers
IRIS: Implicit Rendering Matters for Pose-Free Novel View Synthesis
Wenyu Li, Sidun Liu, Peng Qiao +2
Novel view synthesis from unposed multi-view images remains challenging, as the model must jointly learn scene representations and camera parameters without pose supervision. Exist…
LocusGS: Spatially Grounded Tokens for Feed-Forward 3D Gaussian Splatting
Wenyu Li, Sidun Liu, Tongrui Hu +2
Recent query-based feed-forward 3DGS methods represent a scene using learnable queries, each aggregating multi-view evidence and decoding a group of Gaussians. Ideally, different q…
Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
Wenyu Li, Sidun Liu, Peng Qiao +2
We present Muskie, a native multi-view vision backbone designed for 3D vision tasks. Unlike existing models, which are frame-wise and exhibit limited multi-view consistency, Muskie…
Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention
Wenjie Hu, Sidun Liu, Peng Qiao +2
Recent advances in Transformer-based Neural Operators have enabled significant progress in data-driven solvers for Partial Differential Equations (PDEs). Most current research has…
Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction
Wenyu Li, Sidun Liu, Peng Qiao +1
Recent advances in data-driven geometric multi-view 3D reconstruction foundation models (e.g., DUSt3R) have shown remarkable performance across various 3D vision tasks, facilitated…
Regist3R: Incremental Registration with Stereo Foundation Model
Sidun Liu, Wenyu Li, Peng Qiao +1
Multi-view 3D reconstruction has remained an essential yet challenging problem in the field of computer vision. While DUSt3R and its successors have achieved breakthroughs in 3D re…
VoxNeuS: Enhancing Voxel-Based Neural Surface Reconstruction via Gradient Interpolation
Sidun Liu, Peng Qiao, Zongxin Ye +2
Neural Surface Reconstruction learns a Signed Distance Field~(SDF) to reconstruct the 3D model from multi-view images. Previous works adopt voxel-based explicit representation to i…
DistGrid: Scalable Scene Reconstruction with Distributed Multi-resolution Hash Grid
Sidun Liu, Peng Qiao, Zongxin Ye +2
Neural Radiance Field~(NeRF) achieves extremely high quality in object-scaled and indoor scene reconstruction. However, there exist some challenges when reconstructing large-scale…
AbsGS: Recovering Fine Details for 3D Gaussian Splatting
Zongxin Ye, Wenyu Li, Sidun Liu +2
3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with differentiable rasterization to achieve high-quality novel view synthesis results while providing advanc…
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration
Peng Qiao, Sidun Liu, Tao Sun +2
The great success of Deep Neural Networks (DNNs) has inspired the algorithmic development of DNN-based Fixed-Point (DNN-FP) for computer vision tasks. DNN-FP methods, trained by Ba…
Multi-Outputs Is All You Need For Deblur
Sidun Liu, Peng Qiao, Yong Dou
Image deblurring task is an ill-posed one, where exists infinite feasible solutions for blurry image. Modern deep learning approaches usually discard the learning of blur kernels a…