Papers Neural Rendering
“Neural Rendering” 태그가 달린 논문 514편 · 필터 해제
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity
Neural surface reconstruction faces persistent challenges in reconciling geometric fidelity with photometric consistency under complex scene conditions. We present HiNeuS, a unified framework that holistically addresses …
Inverse RenderingNeural RenderingSurface ReconstructionR3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Neural rendering methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have achieved significant progress in photorealistic 3D scene reconstruction and novel view synthesis. However, most existin…
3DGS3D Reconstruction3D Scene ReconstructionAutonomous Driving+5Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos
Talking head video compression has advanced with neural rendering and keypoint-based methods, but challenges remain, especially at low bit rates, including handling large head movements, suboptimal lip synchronization, a…
Neural RenderingVideo CompressionGaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for radiance field rendering, but it typically requires millions of redundant Gaussian primitives, overwhelming memory and rendering budgets. Existing comp…
3DGSNeural RenderingSSIMR3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
Validating autonomous driving (AD) systems requires diverse and safety-critical testing, making photorealistic virtual environments essential. Traditional simulation platforms, while controllable, are resource-intensive …
3DGSAutonomous DrivingNeural RenderingObject+1Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting
Neural rendering techniques, including NeRF and Gaussian Splatting (GS), rely on photometric consistency to produce high-quality reconstructions. However, in real-world scenarios, it is challenging to guarantee perfect p…
Autonomous DrivingNeRFNeural RenderingUAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting
Despite significant advancements in dynamic neural rendering, existing methods fail to address the unique challenges posed by UAV-captured scenarios, particularly those involving monocular camera setups, top-down perspec…
Neural RenderingNovel View SynthesisProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Neural rendering has made significant strides in 3D reconstruction and novel view synthesis. With the integration with physics, it opens up new applications. The inverse problem of estimating physics from visual data, ho…
3D ReconstructionNeRFNeural RenderingNovel View Synthesis+2ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
We present ODE-GS, a novel method that unifies 3D Gaussian Splatting with latent neural ordinary differential equations (ODEs) to forecast dynamic 3D scenes far beyond the time span seen during training. Existing neural …
3DGSNeRFNeural RenderingNumerical IntegrationCountingFruit: Real-Time 3D Fruit Counting with Language-Guided Semantic Gaussian Splatting
Accurate fruit counting in real-world agricultural environments is a longstanding challenge due to visual occlusions, semantic ambiguity, and the high computational demands of 3D reconstruction. Existing methods based on…
3D ReconstructionNeural RenderingUrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priors
Existing neural rendering-based urban scene reconstruction methods mainly focus on the Interpolated View Synthesis (IVS) setting that synthesizes from views close to training camera trajectory. However, IVS can not guara…
Neural RenderingAnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
We introduce AnySplat, a feed forward network for novel view synthesis from uncalibrated image collections. In contrast to traditional neural rendering pipelines that demand known camera poses and per scene optimization,…
Neural RenderingNovel View Synthesis3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians
3D Gaussian Splatting (3DGS) marks a significant milestone in balancing the quality and efficiency of differentiable rendering. However, its high efficiency stems from an approximation of projecting 3D Gaussians onto the…
3DGSNeural RenderingNovel View SynthesisRenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
We present RenderFormer, a neural rendering pipeline that directly renders an image from a triangle-based representation of a scene with full global illumination effects and that does not require per-scene training or fi…
Neural RenderingPS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization
Neural rendering methods have gained significant attention for their ability to reconstruct 3D scenes from 2D images. The core idea is to take multiple views as input and optimize the reconstructed scene by minimizing th…
3D geometry3D ReconstructionData AugmentationNeural Rendering+1GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
Neural Radiance Fields (NeRF) have transformed novel view synthesis by modeling scene-specific volumetric representations directly from images. While generalizable NeRF models can generate novel views across unknown scen…
NeRFNeural RenderingNovel View SynthesisFrom Flight to Insight: Semantic 3D Reconstruction for Aerial Inspection via Gaussian Splatting and Language-Guided Segmentation
High-fidelity 3D reconstruction is critical for aerial inspection tasks such as infrastructure monitoring, structural assessment, and environmental surveying. While traditional photogrammetry techniques enable geometric …
3DGS3D ReconstructionNeural RenderingScene UnderstandingEVA: Expressive Virtual Avatars from Multi-view Videos
With recent advancements in neural rendering and motion capture algorithms, remarkable progress has been made in photorealistic human avatar modeling, unlocking immense potential for applications in virtual reality, augm…
Neural RenderingA Survey of 3D Reconstruction with Event Cameras: From Event-based Geometry to Neural 3D Rendering
Event cameras have emerged as promising sensors for 3D reconstruction due to their ability to capture per-pixel brightness changes asynchronously. Unlike conventional frame-based cameras, they produce sparse and temporal…
3D ReconstructionNeural RenderingSurveySpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices
Neural rendering has gained prominence for its high-quality output, which is crucial for AR/VR applications. However, its large voxel grid data size and irregular access patterns challenge real-time processing on edge de…
Neural Rendering