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20172026
most citedDense Non-rigid Structure-from-Motion Made Easy - A Spatial-Temporal Smoothness based Solution

6 citations · 13 across the 9 of their papers we have counts for

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cs.CV2026

SSR: A Training-Free Approach for Streaming 3D Reconstruction

Hui Deng, Yuxin Mao, Yuxin He +1

Streaming 3D reconstruction demands long-horizon state updates under strict latency constraints, yet stateful recurrent models often suffer from geometric drift as errors accumulat…

cs.CV2025

Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective

Yuxin Mao, Zhen Qin, Jinxing Zhou +6

Autoregressive (AR) models have garnered significant attention in image generation for their ability to effectively capture both local and global structures within visual data. How…

cs.CV2024

Deep Non-rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling

Hui Deng, Jiawei Shi, Zhen Qin +2

Non-Rigid Structure-from-Motion (NRSfM) is a classic 3D vision problem, where a 2D sequence is taken as input to estimate the corresponding 3D sequence. Recently, the deep neural n…

cs.CV2024

Non-rigid Structure-from-Motion: Temporally-smooth Procrustean Alignment and Spatially-variant Deformation Modeling

Jiawei Shi, Hui Deng, Yuchao Dai

Even though Non-rigid Structure-from-Motion (NRSfM) has been extensively studied and great progress has been made, there are still key challenges that hinder their broad real-world…

cs.CV2023

Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling

Haorui Ji, Hui Deng, Yuchao Dai +1

Most of the previous 3D human pose estimation work relied on the powerful memory capability of the network to obtain suitable 2D-3D mappings from the training data. Few works have…

cs.CV2022★ 2 cited

Linear Video Transformer with Feature Fixation

Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8

Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…