Triplane meets gaussian splatting: Fast and generalizable single-view 3d reconstruction with transformers

ZX Zou, Z Yu, YC Guo, Y Li, D Liang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recent advancements in 3D reconstruction from single images have been driven by the
evolution of generative models. Prominent among these are methods based on Score …

Binary opacity grids: Capturing fine geometric detail for mesh-based view synthesis

C Reiser, S Garbin, P Srinivasan, D Verbin… - ACM Transactions on …, 2024 - dl.acm.org
While surface-based view synthesis algorithms are appealing due to their low computational
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …

Bakedavatar: Baking neural fields for real-time head avatar synthesis

HB Duan, M Wang, JC Shi, XC Chen… - ACM Transactions on …, 2023 - dl.acm.org
Synthesizing photorealistic 4D human head avatars from videos is essential for VR/AR,
telepresence, and video game applications. Although existing Neural Radiance Fields …

Adaptive shells for efficient neural radiance field rendering

Z Wang, T Shen, M Nimier-David, N Sharp… - arXiv preprint arXiv …, 2023 - arxiv.org
Neural radiance fields achieve unprecedented quality for novel view synthesis, but their
volumetric formulation remains expensive, requiring a huge number of samples to render …

From capture to display: A survey on volumetric video

Y Jin, K Hu, J Liu, F Wang, X Liu - arXiv preprint arXiv:2309.05658, 2023 - arxiv.org
Volumetric video, which offers immersive viewing experiences, is gaining increasing
prominence. With its six degrees of freedom, it provides viewers with greater immersion and …

Radsplat: Radiance field-informed gaussian splatting for robust real-time rendering with 900+ fps

M Niemeyer, F Manhardt, MJ Rakotosaona… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advances in view synthesis and real-time rendering have achieved photorealistic
quality at impressive rendering speeds. While Radiance Field-based methods achieve state …

Reconstructive latent-space neural radiance fields for efficient 3d scene representations

T Aumentado-Armstrong, A Mirzaei… - arXiv preprint arXiv …, 2023 - arxiv.org
Neural Radiance Fields (NeRFs) have proven to be powerful 3D representations, capable of
high quality novel view synthesis of complex scenes. While NeRFs have been applied to …

CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance

Z Hu, Y Zhang, C Liu, L Li, S Peng, X Zhou… - … on Computer Vision, 2025 - Springer
Differentiable surface rendering has significantly advanced 3D reconstruction. Existing the
locarendering method assume sfacethat us employ linear approximation based oni planar …

REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices

C Ji, Y Li, Y Liao - European Conference on Computer Vision, 2025 - Springer
This work tackles the challenging task of achieving real-time novel view synthesis for
reflective surfaces across various scenes. Existing real-time rendering methods, especially …

HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces

H Turki, V Agrawal, SR Bulò, L Porzi… - Proceedings of the …, 2024 - openaccess.thecvf.com
Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to
render. One reason is that they make use of volume rendering thus requiring many samples …