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[PDF][PDF] 3d gaussian splatting for real-time radiance field rendering.
[CS482] 3D Gaussian Splatting for Real-Time Radiance Field Rendering Page 1 3D Gaussian
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …
Hexplane: A fast representation for dynamic scenes
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Compact 3d gaussian representation for radiance field
Abstract Neural Radiance Fields (NeRFs) have demonstrated remarkable potential in
capturing complex 3D scenes with high fidelity. However one persistent challenge that …
capturing complex 3D scenes with high fidelity. However one persistent challenge that …
Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Neural radiance fields enable state-of-the-art photorealistic view synthesis. However,
existing radiance field representations are either too compute-intensive for real-time …
existing radiance field representations are either too compute-intensive for real-time …
Compressed 3d gaussian splatting for accelerated novel view synthesis
S Niedermayr, J Stumpfegger… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently high-fidelity scene reconstruction with an optimized 3D Gaussian splat
representation has been introduced for novel view synthesis from sparse image sets …
representation has been introduced for novel view synthesis from sparse image sets …
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …
term quest. The task is especially appealing when only a few or even single RGB cameras …
Nerfacc: Efficient sampling accelerates nerfs
Abstract Optimizing and rendering Neural Radiance Fields is computationally expensive
due to the vast number of samples required by volume rendering. Recent works have …
due to the vast number of samples required by volume rendering. Recent works have …
Citygaussian: Real-time high-quality large-scale scene rendering with gaussians
The advancement of real-time 3D scene reconstruction and novel view synthesis has been
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …
Fast dynamic radiance fields with time-aware neural voxels
Neural radiance fields (NeRF) have shown great success in modeling 3D scenes and
synthesizing novel-view images. However, most previous NeRF methods take much time to …
synthesizing novel-view images. However, most previous NeRF methods take much time to …
Neurbf: A neural fields representation with adaptive radial basis functions
We present a novel type of neural fields that uses general radial bases for signal
representation. State-of-the-art neural fields typically rely on grid-based representations for …
representation. State-of-the-art neural fields typically rely on grid-based representations for …