Papers NeRF
“NeRF” 태그가 달린 논문 1,713편 · 필터 해제
MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation
The application of methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3D GS) have steadily gained popularity in the field of 3D object segmentation in static scenes. These approaches demonstrate ef…
NeRFObjectScene UnderstandingSegmentation+4DreamArt: Generating Interactable Articulated Objects from a Single Image
Generating articulated objects, such as laptops and microwaves, is a crucial yet challenging task with extensive applications in Embodied AI and AR/VR. Current image-to-3D methods primarily focus on surface geometry and …
3D GenerationImage to 3DNeRFReflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering
Accurately rendering scenes with reflective surfaces remains a significant challenge in novel view synthesis, as existing methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) often misinterpret ref…
3DGSDisentanglementNeRFNovel View Synthesis+1UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is cruci…
Hyperspectral UnmixingMaterial SegmentationNeRFNovel View Synthesis+2PanSt3R: Multi-view Consistent Panoptic Segmentation
Panoptic segmentation of 3D scenes, involving the segmentation and classification of object instances in a dense 3D reconstruction of a scene, is a challenging problem, especially when relying solely on unposed 2D images…
2D Panoptic Segmentation3D geometry3DGS3D Reconstruction+3Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects
Obtaining a better knowledge of the current state and behavior of objects orbiting Earth has proven to be essential for a range of applications such as active debris removal, in-orbit maintenance, or anomaly detection. 3…
3D ReconstructionAnomaly DetectionNeRFSelf-Supervised Multimodal NeRF for Autonomous Driving
In this paper, we propose a Neural Radiance Fields (NeRF) based framework, referred to as Novel View Synthesis Framework (NVSF). It jointly learns the implicit neural representation of space and time-varying scene for bo…
Autonomous DrivingNeRFNovel View SynthesisNeRF-based CBCT Reconstruction needs Normalization and Initialization
Cone Beam Computed Tomography (CBCT) is widely used in medical imaging. However, the limited number and intensity of X-ray projections make reconstruction an ill-posed problem with severe artifacts. NeRF-based methods ha…
global-optimizationNeRFMCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation
Neural implicit scene representations have recently shown promising results in dense visual SLAM. However, existing implicit SLAM algorithms are constrained to single-agent scenarios, and fall difficulties in large-scale…
3D ReconstructionNeRF2D Triangle Splatting for Direct Differentiable Mesh Training
Differentiable rendering with 3D Gaussian primitives has emerged as a powerful method for reconstructing high-fidelity 3D scenes from multi-view images. While it offers improvements over NeRF-based methods, this represen…
NeRFAdvancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
Talking Head Generation (THG) has emerged as a transformative technology in computer vision, enabling the synthesis of realistic human faces synchronized with image, audio, text, or video inputs. This paper provides a co…
NeRFTalking Head Generation3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene
Recent developments in 3D Gaussian Splatting have made significant advances in surface reconstruction. However, scaling these methods to large-scale scenes remains challenging due to high computational demands and the co…
Autonomous DrivingNeRFSurface 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+5RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful tools for 3D reconstruction and SLAM tasks. However, their performance depends heavily on accurate camera pose priors. Existing appr…
3DGS3D ReconstructionCamera Pose EstimationNeRF+1Efficient multi-view training for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a preferred choice alongside Neural Radiance Fields (NeRF) in inverse rendering due to its superior rendering speed. Currently, the common approach in 3DGS is to utilize "singl…
3DGSInverse RenderingNeRFSSIMPointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting
3D Gaussian splatting (3DGS) is an innovative rendering technique that surpasses the neural radiance field (NeRF) in both rendering speed and visual quality by leveraging an explicit 3D scene representation. Existing 3DG…
3DGSNeRFThe Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photorealistic novel views from sparse or even unposed 2D images without per-scene optimization. This task remains fundamentally…
3DGSGeneralizable Novel View SynthesisInductive BiasNeRF+1Speedy Deformable 3D Gaussian Splatting: Fast Rendering and Compression of Dynamic Scenes
Recent extensions of 3D Gaussian Splatting (3DGS) to dynamic scenes achieve high-quality novel view synthesis by using neural networks to predict the time-varying deformation of each Gaussian. However, performing per-Gau…
3DGSNeRFNovel View SynthesisGenesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
We present Genesis, a unified framework for joint generation of multi-view driving videos and LiDAR sequences with spatio-temporal and cross-modal consistency. Genesis employs a two-stage architecture that integrates a D…
NeRFScene GenerationSPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
Single Photon Avalanche Diodes (SPADs) represent a cutting-edge imaging technology, capable of detecting individual photons with remarkable timing precision. Building on this sensitivity, Single Photon Cameras (SPCs) ena…
3DGS3D Reconstruction3D Scene ReconstructionNeRF+1