Nerf
PulseAugur coverage of Nerf — every cluster mentioning Nerf across labs, papers, and developer communities, ranked by signal.
- subsidiary of Hasbro 100%
- instance of Gotit.pub 90%
- instance of ScienceCast 90%
- instance of CatalyzeX 90%
- instance of alphaXiv 90%
- developed by Neural radiance field 90%
- instance of Neural radiance field 90%
- instance of CORE Recommender 90%
- used by ScienceCast 70%
- used by CatalyzeX 70%
- used by Gotit.pub 70%
- used by alphaXiv 70%
8 day(s) with sentiment data
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SVRecon framework enables high-resolution neural surface reconstruction
Researchers have introduced Sparse Volumetric Reconstruction (SVRecon), a novel framework for generalizable neural surface reconstruction. This method addresses the memory limitations of previous approaches by employing…
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HKUST researchers blend AI with 3D geometry for enhanced visual consistency
Researchers from the Hong Kong University of Science and Technology, led by Professor Tan Ping, are exploring the integration of deep learning models with traditional 3D geometry techniques to enhance global consistency…
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New NeRF framework reconstructs 3D coronary arteries from limited X-ray views
Researchers have developed NeCA++, a novel multi-stage neural radiance field (NeRF) framework designed for 3D coronary artery reconstruction from limited, narrow-angle X-ray angiographic projections. This self-supervise…
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New benchmark EditBench3D evaluates 3D scene editing beyond semantic alignment
Researchers have introduced EditBench3D, a new benchmark designed to evaluate the editability of 3D scenes beyond simple semantic alignment. This benchmark assesses four key properties: instruction fidelity, spatial loc…
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New Transformer Model Reconstructs 3D Curves from Sparse Images
Researchers have developed CGGT, a Curve-Grounded Geometry Transformer, designed to reconstruct editable 3D parametric curves from sparse, unposed multi-view images. This new method bypasses the need for dense camera vi…
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JAX3D enables hierarchical NeRF for advanced 3D rendering and reconstruction
Researchers have developed a method for creating hierarchical Neural Radiance Fields (NeRFs) using JAX and the jax3d library. This approach enables volumetric rendering, novel-view synthesis, and 3D reconstruction. The …
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New 3D Point Splatting Renderer Advances mmWave Radar Novel View Synthesis
Researchers have developed 3D Point Splatting (3DPS), a novel differentiable point renderer specifically designed for mmWave radar novel view synthesis. This new method addresses limitations in existing techniques by be…
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PointSplat reduces 3D model redundancy for immersive streaming · 1 source tracked
Researchers from Zhejiang University, ByteDance, and The Chinese University of Hong Kong, Shenzhen have developed PointSplat, a novel method for creating more compact 3D human representations. This approach shifts from …
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AccidentSim generates realistic vehicle collision videos from accident reports
Researchers have developed AccidentSim, a new framework designed to generate realistic vehicle collision videos for autonomous driving research. This system extracts physical clues and contextual information from real-w…
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New 3D Morphological Perturbations boost video model depth accuracy
Researchers have developed a new optimization-free regularizer called 3D Morphological Perturbations to improve 3D scene representations like NeRF and 3D Gaussian Splatting (3DGS). This method treats each Gaussian in 3D…
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Automated 3D pipeline extracts maize ear traits for breeding analysis
Researchers have developed an automated pipeline to extract key traits from 3D reconstructions of maize ears, addressing the slow pace of manual measurement in breeding programs. The system processes video frames throug…
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RefracGS framework enables novel view synthesis through refractive water surfaces
Researchers have developed RefracGS, a novel framework for synthesizing novel views of scenes viewed through refractive water surfaces. Unlike previous methods that assume straight-line ray propagation, RefracGS explici…
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NeRF method leads in 3D reconstruction for immersive education · 2 sources tracked
A recent study compared four 3D reconstruction methods—photogrammetry, NeRF-based, Gaussian splatting, and LiDAR—for creating realistic holographic representations of laboratory objects for educational use. The NeRF-bas…
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New Intrinsic PAPR framework tackles 3D scene rendering misattribution
Researchers have introduced Intrinsic PAPR, a novel framework designed to improve 3D intrinsic decomposition by addressing a misattribution issue. This problem occurs when individual scene elements incorrectly learn app…
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New filter tackles aliasing in 4D Gaussian representations for dynamic scenes
Researchers have developed a new motion-aware filtering technique to reduce aliasing artifacts in 4D Gaussian representations, which are used for synthesizing novel views of dynamic scenes in AR/VR applications. Existin…
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FixAnything model refines 3D rendering artifacts using video generative priors
Researchers have developed FixAnything, a novel model designed to refine 3D renderings and fix artifacts across various representations like Gaussian Splatting and NeRF. The model repurposes a pre-trained video generati…
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HistReNeRF framework relocalizes historic photos in 3D scenes
Researchers have developed HistReNeRF, a novel framework designed to accurately relocalize historical photographs within contemporary 3D scene reconstructions. This method addresses the challenges posed by differences i…
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LaGSplat framework infers physics-governed simulations from video
Researchers have developed LaGSplat, a novel framework that infers physics-governed interactive simulations from monocular video. This system allows users to apply external forces to filmed objects, enabling real-time r…
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AI agents advance 3D editing and scene synthesis with new frameworks · 10 sources tracked
Researchers are developing advanced AI agents for 3D content creation and editing, moving beyond simple generation to more complex manipulation and control. FlowEdit offers a unified framework for motion generation and …
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New research advances 3D scene generation for AI and autonomous driving
Two recent arXiv papers explore advancements in 3D scene generation, a field crucial for applications like autonomous driving and virtual reality. The first paper, a survey, categorizes current methods into procedural, …