ReCoSplat: Autoregressive Feed-Forward Gaussian Splatting Using Render-and-Compare

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[1]
Context Forcing: Consistent Autoregressive Video Generation with Long Context
2026Shuo Chen, Cong Wei et al.
[2]
AVGGT: Rethinking Global Attention for Accelerating VGGT
2025Xianbing Sun, Zhikai Zhu et al.
[3]
Depth Anything 3: Recovering the Visual Space from Any Views
2025Haotong Lin, Sili Chen et al.
[4]
YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
2025Botao Ye, Boqi Chen et al.
[5]
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2025Jiaxin Guo, Tongfan Guan et al.
[6]
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2025Xingyu Chen, Yue Chen et al.
[7]
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2025N. Keetha, Norman Müller et al.
[8]
WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool
2025Zizun Li, Jianjun Zhou et al.
[9]
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2025Guichen Huang, Ruoyu Wang et al.
[10]
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2025Jiahui Zhang, Yuelei Li et al.
[11]
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2025Yifan Wang, Jianjun Zhou et al.
[12]
Streaming 4D Visual Geometry Transformer
2025Dong Zhuo, Wenzhao Zheng et al.
[13]
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2025Chong Cheng, Sicheng Yu et al.
[14]
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2025Yuqi Wu, Wenzhao Zheng et al.
[15]
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2025Tong Wu, Shuai Yang et al.
[16]
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2025Lihan Jiang, Yucheng Mao et al.
[17]
VGGT: Visual Geometry Grounded Transformer
2025Jianyuan Wang, Minghao Chen et al.
[18]
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2025Li Yang, Jinglu Wang et al.
[19]
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Showing 20 of 41 references

Founder's Pitch

"ReCoSplat is an innovative model for online novel view synthesis that enhances scene reconstruction from unposed observations."

3D ReconstructionScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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