Resources tagged: paper

170 curated 3D resources tagged paper (Tech). Browse all tags.

• 3D Neural Scene Representations for Visuomotor Control in AI & Machine Learning for CG → Research Papers
• 3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows in AI & Machine Learning for CG → Research Papers
• 4D Gaussian Splatting in Tools, Pipeline & Utilities → Gaussian Splatting & NeRF
• A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis in AI & Machine Learning for CG → Research Papers
• Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models in AI & Machine Learning for CG → Research Papers
• AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training in AI & Machine Learning for CG → Research Papers
• Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies in AI & Machine Learning for CG → Research Papers
• Animatable Neural Radiance Fields from Monocular RGB Videos in AI & Machine Learning for CG → Research Papers
• AutoInt: Automatic Integration for Fast Neural Volume Rendering in AI & Machine Learning for CG → Research Papers
• BeyondPixels: A Review of the Evolution of Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Block-NeRF: Scalable Large Scene Neural View Synthesis in AI & Machine Learning for CG → Research Papers
• BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects in AI & Machine Learning for CG → Research Papers
• CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations in AI & Machine Learning for CG → Research Papers
• CLA-NeRF: Category-Level Articulated Neural Radiance Field in AI & Machine Learning for CG → Research Papers
• CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• CodeNeRF: Disentangled Neural Radiance Fields for Object Categories in AI & Machine Learning for CG → Research Papers
• Color-NeRF in AI & Machine Learning for CG → Research Papers
• Consolidating Attention Features for Multi-view Image Editing in AI & Machine Learning for CG → Research Papers
• Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion in AI & Machine Learning for CG → Research Papers
• CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation in AI & Machine Learning for CG → Research Papers
• D-NeRF: Neural Radiance Fields for Dynamic Scenes in AI & Machine Learning for CG → Research Papers
• Deep Generative Models on 3D Representations: A Survey in AI & Machine Learning for CG → Research Papers
• DeepCAD: A Deep Generative Network for Computer-Aided Design Models in AI & Machine Learning for CG → Research Papers
• Deformable Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Depth-supervised NeRF: Fewer Views and Faster Training for Free in AI & Machine Learning for CG → Research Papers
• DeRF: Decomposed Radiance Fields in AI & Machine Learning for CG → Research Papers
• DFNet: Enhance Absolute Pose Regression with Direct Feature Matching in AI & Machine Learning for CG → Research Papers
• Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction in AI & Machine Learning for CG → Research Papers
• DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images in AI & Machine Learning for CG → Research Papers
• DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model in AI & Machine Learning for CG → Research Papers
• DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks in AI & Machine Learning for CG → Research Papers
• Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models in AI & Machine Learning for CG → Research Papers
• DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior in AI & Machine Learning for CG → Research Papers
• DreamFusion: Text-to-3D using 2D Diffusion in AI & Machine Learning for CG → Research Papers
• DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation in AI & Machine Learning for CG → Research Papers
• DreamGaussian4D: Generative 4D Gaussian Splatting in AI & Machine Learning for CG → Research Papers
• DreamWaltz: Make a Scene with Complex 3D Animatable Avatars in AI & Machine Learning for CG → Research Papers
• DyLiN: Making Light Field Networks Dynamic in AI & Machine Learning for CG → Research Papers
• Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction in AI & Machine Learning for CG → Research Papers
• DynIBaR: Neural Dynamic Image-Based Rendering in AI & Machine Learning for CG → Research Papers
• Editable Free-viewpoint Video Using a Layered Neural Representation in AI & Machine Learning for CG → Research Papers
• Editing Conditional Radiance Fields in AI & Machine Learning for CG → Research Papers
• En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data in AI & Machine Learning for CG → Research Papers
• EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction in AI & Machine Learning for CG → Research Papers
• ENeRF: Efficient Neural Radiance Fields for Interactive Free-viewpoint Video in AI & Machine Learning for CG → Research Papers
• FastNeRF: High-Fidelity Neural Rendering at 200FPS in AI & Machine Learning for CG → Research Papers
• FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling in AI & Machine Learning for CG → Research Papers
• From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach in AI & Machine Learning for CG → Research Papers
• GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting in AI & Machine Learning for CG → Research Papers
• GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation in AI & Machine Learning for CG → Research Papers
• GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians in AI & Machine Learning for CG → Research Papers
• GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting in AI & Machine Learning for CG → Research Papers
• Gemini Robotics 1.5 in AI & Machine Learning for CG → Research Papers
• Generative Occupancy Fields for 3D Surface-Aware Image Synthesis in AI & Machine Learning for CG → Research Papers
• GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields in AI & Machine Learning for CG → Research Papers
• GNeRF: GAN-based Neural Radiance Field without Posed Camera in AI & Machine Learning for CG → Research Papers
• GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation in AI & Machine Learning for CG → Research Papers
• GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis in AI & Machine Learning for CG → Research Papers
• GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering in AI & Machine Learning for CG → Research Papers
• Ha-NeRF: Hallucinated Neural Radiance Fields in the Wild in AI & Machine Learning for CG → Research Papers
• HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video in AI & Machine Learning for CG → Research Papers
• IBRNet: Learning Multi-View Image-Based Rendering in AI & Machine Learning for CG → Research Papers
• IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis in AI & Machine Learning for CG → Research Papers
• Image Sculpting: Precise Object Editing with 3D Geometry Control in AI & Machine Learning for CG → Research Papers
• Importance Sampling for Production Rendering in AI & Machine Learning for CG → Research Papers
• In-Place Scene Labelling and Understanding with Implicit Scene Representation in AI & Machine Learning for CG → Research Papers
• iNeRF: Inverting Neural Radiance Fields for Pose Estimation in AI & Machine Learning for CG → Research Papers
• InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity in AI & Machine Learning for CG → Research Papers
• Instant3D: Instant Text-to-3D Generation in AI & Machine Learning for CG → Research Papers
• KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs in AI & Machine Learning for CG → Research Papers
• KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination in AI & Machine Learning for CG → Research Papers
• L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Learned Initializations for Optimizing Coordinate-Based Neural Representations in AI & Machine Learning for CG → Research Papers
• Learning Compositional Radiance Fields of Dynamic Human Heads in AI & Machine Learning for CG → Research Papers
• Learning Neural Transmittance for Efficient Rendering of Reflectance Fields in AI & Machine Learning for CG → Research Papers
• Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering in AI & Machine Learning for CG → Research Papers
• Learning the 3D Fauna of the Web in AI & Machine Learning for CG → Research Papers
• Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving in AI & Machine Learning for CG → Research Papers
• Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Local 3D Editing via 3D Distillation of CLIP Knowledge in AI & Machine Learning for CG → Research Papers
• M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts in AI & Machine Learning for CG → Research Papers
• Magic3D: High-Resolution Text-to-3D Content Creation in AI & Machine Learning for CG → Research Papers
• Make-A-Character: High Quality Text-to-3D Character Generation within Minutes in AI & Machine Learning for CG → Research Papers
• Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior in AI & Machine Learning for CG → Research Papers
• MinD-3D: Reconstruct High-quality 3D objects in Human Brain in AI & Machine Learning for CG → Research Papers
• MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis in AI & Machine Learning for CG → Research Papers
• Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Mixture of Volumetric Primitives for Efficient Neural Rendering in AI & Machine Learning for CG → Research Papers
• MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo in AI & Machine Learning for CG → Research Papers
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes in AI & Machine Learning for CG → Research Papers
• NeRF in Tools, Pipeline & Utilities → Photogrammetry & 3D Scanning
• NeRF (paper site) in AI & Machine Learning for CG → Research Papers
• NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images in AI & Machine Learning for CG → Research Papers
• NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections in AI & Machine Learning for CG → Research Papers
• NeRF--: Neural Radiance Fields Without Known Camera Parameters in AI & Machine Learning for CG → Research Papers
• NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors in AI & Machine Learning for CG → Research Papers
• NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• NeRF-SOS: Any-view Self-supervised Object Segmentation on Complex Real-world Scenes in AI & Machine Learning for CG → Research Papers
• NeRF-VAE: A Geometry Aware 3D Scene Generative Model in AI & Machine Learning for CG → Research Papers
• NeRF: Neural Radiance Field in 3D Vision, Introduction and Review in AI & Machine Learning for CG → Research Papers
• NeRF++: Analyzing and Improving Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination in AI & Machine Learning for CG → Research Papers
• NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo in AI & Machine Learning for CG → Research Papers
• NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis in AI & Machine Learning for CG → Research Papers
• Neural 3D Video Synthesis from Multi-view Video in AI & Machine Learning for CG → Research Papers
• Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans in AI & Machine Learning for CG → Research Papers
• Neural Radiance Flow for 4D View Synthesis and Video Processing in AI & Machine Learning for CG → Research Papers
• Neural Rays for Occlusion-aware Image-based Rendering in AI & Machine Learning for CG → Research Papers
• Neural Refinement for Absolute Pose Regression with Feature Synthesis in AI & Machine Learning for CG → Research Papers
• Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes in AI & Machine Learning for CG → Research Papers
• Neural Scene Graphs for Dynamic Scenes in AI & Machine Learning for CG → Research Papers
• Neural Sparse Voxel Fields in AI & Machine Learning for CG → Research Papers
• Neural Volume Rendering: NeRF in AI & Machine Learning for CG → Research Papers
• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction in AI & Machine Learning for CG → Research Papers
• Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video in AI & Machine Learning for CG → Research Papers
• NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior in AI & Machine Learning for CG → Research Papers
• One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion in AI & Machine Learning for CG → Research Papers
• ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds in AI & Machine Learning for CG → Research Papers
• PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds in AI & Machine Learning for CG → Research Papers
• pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis in AI & Machine Learning for CG → Research Papers
• pixelNeRF: Neural Radiance Fields from One or Few Images in AI & Machine Learning for CG → Research Papers
• PlankAssembly: 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs in AI & Machine Learning for CG → Research Papers
• PlenOctrees for Real-time Rendering of Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Point-NeRF: Point-based Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders in AI & Machine Learning for CG → Research Papers
• PolyGen: An Autoregressive Generative Model of 3D Meshes in AI & Machine Learning for CG → Research Papers
• Ponder: Point Cloud Pre-training via Neural Rendering in AI & Machine Learning for CG → Research Papers
• PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm in AI & Machine Learning for CG → Research Papers
• PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction in AI & Machine Learning for CG → Research Papers
• Portrait Neural Radiance Fields from a Single Image in AI & Machine Learning for CG → Research Papers
• Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts in AI & Machine Learning for CG → Research Papers
• PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting in AI & Machine Learning for CG → Research Papers
• Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis in AI & Machine Learning for CG → Research Papers
• PVA: Pixel-aligned Volumetric Avatars in AI & Machine Learning for CG → Research Papers
• PVDeconv: Point-voxel deconvolution for autoencoding cad construction in 3D in AI & Machine Learning for CG → Research Papers
• Reconstructing Editable Prismatic CAD from Rounded Voxel Models in AI & Machine Learning for CG → Research Papers
• Recovering HDR Radiance Maps (Debevec & Malik, 1997) in AI & Machine Learning for CG → Research Papers
• Rendering Synthetic Objects into Real Scenes (Debevec, 1998) in AI & Machine Learning for CG → Research Papers
• RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D in AI & Machine Learning for CG → Research Papers
• Rig3DGS: Creating Controllable Portraits from Casual Monocular Videos in AI & Machine Learning for CG → Research Papers
• Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion in AI & Machine Learning for CG → Research Papers
• RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering in AI & Machine Learning for CG → Research Papers
• SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance in AI & Machine Learning for CG → Research Papers
• Self-Calibrating Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• SIGNeRF: Scene Integrated Generation for Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field in AI & Machine Learning for CG → Research Papers
• SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image in AI & Machine Learning for CG → Research Papers
• Space-time Neural Irradiance Fields for Free-Viewpoint Video in AI & Machine Learning for CG → Research Papers
• Streaming Radiance Fields for 3D Video Synthesis in AI & Machine Learning for CG → Research Papers
• Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting in AI & Machine Learning for CG → Research Papers
• StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis in AI & Machine Learning for CG → Research Papers
• Supervised Fitting of Geometric Primitives to 3D Point Clouds in AI & Machine Learning for CG → Research Papers
• SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes in AI & Machine Learning for CG → Research Papers
• Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Taming Mode Collapse in Score Distillation for Text-to-3D Generation in AI & Machine Learning for CG → Research Papers
• Text-To-4D Dynamic Scene Generation in AI & Machine Learning for CG → Research Papers
• Text2CAD: Text to 3D CAD Generation via Technical Drawings in AI & Machine Learning for CG → Research Papers
• TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields in AI & Machine Learning for CG → Research Papers
• TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusion in AI & Machine Learning for CG → Research Papers
• TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels in AI & Machine Learning for CG → Research Papers
• TOSS:High-quality Text-guided Novel View Synthesis from a Single Image in AI & Machine Learning for CG → Research Papers
• Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers in AI & Machine Learning for CG → Research Papers
• UV Volumes for Real-time Rendering of Editable Free-view Human Performance in AI & Machine Learning for CG → Research Papers
• ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields in AI & Machine Learning for CG → Research Papers
• Volume Rendering of Neural Implicit Surfaces in AI & Machine Learning for CG → Research Papers
• Wonder3D: Single Image to 3D using Cross-Domain Diffusion in AI & Machine Learning for CG → Research Papers
• X-NeRF: Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views in AI & Machine Learning for CG → Research Papers
• Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model in AI & Machine Learning for CG → Research Papers