most citedNormal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

3 citations · 3 across the 3 of their papers we have counts for

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cs.CV2025

PanFlow: Decoupled Motion Control for Panoramic Video Generation

Cheng Zhang, Hanwen Liang, Donny Y. Chen +4

Panoramic video generation has attracted growing attention due to its applications in virtual reality and immersive media. However, existing methods lack explicit motion control an…

cs.CV2025

PCGS: Progressive Compression of 3D Gaussian Splatting

Yihang Chen, Mengyao Li, Qianyi Wu +3

3D Gaussian Splatting (3DGS) achieves impressive rendering fidelity and speed for novel view synthesis. However, its substantial data size poses a significant challenge for practic…

cs.CV2025

HAC++: Towards 100X Compression of 3D Gaussian Splatting

Yihang Chen, Qianyi Wu, Weiyao Lin +2

3D Gaussian Splatting (3DGS) has emerged as a promising framework for novel view synthesis, boasting rapid rendering speed with high fidelity. However, the substantial Gaussians an…

cs.CV2024

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting

Cheng Zhang, Haofei Xu, Qianyi Wu +3

With the advent of portable 360° cameras, panorama has gained significant attention in applications like virtual reality (VR), virtual tours, robotics, and autonomous driving. As a…

cs.CV20243 cited

Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering

Meng Wei, Qianyi Wu, Jianmin Zheng +2

Rendering and reconstruction are long-standing topics in computer vision and graphics. Achieving both high rendering quality and accurate geometry is a challenge. Recent advancemen…

cs.CV2024

Fast Feedforward 3D Gaussian Splatting Compression

Yihang Chen, Qianyi Wu, Mengyao Li +3

With 3D Gaussian Splatting (3DGS) advancing real-time and high-fidelity rendering for novel view synthesis, storage requirements pose challenges for their widespread adoption. Alth…