{"total":112,"rows":[{"id":"2111.11215","title":"Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction","created":"2021-11-22","cited_by_count":964,"area":null},{"id":"2212.08751","title":"Point-E: A System for Generating 3D Point Clouds from Complex Prompts","created":"2022-12-16","cited_by_count":699,"area":"diffusion"},{"id":"2111.11426","title":"Neural Fields in Visual Computing and Beyond","created":"2021-11-22","cited_by_count":540,"area":null},{"id":"2305.02463","title":"Shap-E: Generating Conditional 3D Implicit Functions","created":"2023-05-03","cited_by_count":385,"area":null},{"id":"2111.05849","title":"Advances in Neural Rendering","created":"2021-11-10","cited_by_count":365,"area":null},{"id":"2106.02634","title":"Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering","created":"2021-06-04","cited_by_count":332,"area":null},{"id":"2112.14683","title":"StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2","created":"2021-12-29","cited_by_count":301,"area":null},{"id":"2211.16677","title":"3D Neural Field Generation using Triplane Diffusion","created":"2022-11-30","cited_by_count":274,"area":"diffusion"},{"id":"2111.13152","title":"Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations","created":"2021-11-25","cited_by_count":227,"area":null},{"id":"2303.08133","title":"MeshDiffusion: Score-based Generative 3D Mesh Modeling","created":"2023-03-14","cited_by_count":199,"area":null},{"id":"2201.12204","title":"From data to functa: Your data point is a function and you can treat it like one","created":"2022-01-28","cited_by_count":187,"area":null},{"id":"2202.10571","title":"Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks","created":"2022-02-21","cited_by_count":186,"area":null},{"id":"2211.09869","title":"RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation","created":"2022-11-17","cited_by_count":162,"area":"diffusion"},{"id":"2210.00379","title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","created":"2022-10-01","cited_by_count":158,"area":null},{"id":"2211.11704","title":"ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields","created":"2022-11-21","cited_by_count":158,"area":null},{"id":"2210.15947","title":"NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields","created":"2022-10-28","cited_by_count":152,"area":null},{"id":"2207.13751","title":"GAUDI: A Neural Architect for Immersive 3D Scene Generation","created":"2022-07-27","cited_by_count":136,"area":null},{"id":"2209.08546","title":"ActiveNeRF: Learning where to See with Uncertainty Estimation","created":"2022-09-18","cited_by_count":127,"area":null},{"id":"2111.13260","title":"NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes","created":"2021-11-25","cited_by_count":119,"area":null},{"id":"2306.11719","title":"Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision","created":"2023-06-20","cited_by_count":112,"area":"diffusion"},{"id":"2206.10535","title":"EpiGRAF: Rethinking training of 3D GANs","created":"2022-06-21","cited_by_count":108,"area":null},{"id":"2107.07905","title":"Unsupervised Discovery of Object Radiance Fields","created":"2021-07-16","cited_by_count":101,"area":null},{"id":"2303.12218","title":"Compositional 3D Scene Generation using Locally Conditioned Diffusion","created":"2023-03-21","cited_by_count":101,"area":null},{"id":"2111.10265","title":"ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation","created":"2021-11-19","cited_by_count":93,"area":null},{"id":"2403.12019","title":"LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation","created":"2024-03-18","cited_by_count":92,"area":null},{"id":"2206.06922","title":"Object Scene Representation Transformer","created":"2022-06-14","cited_by_count":90,"area":null},{"id":"2104.01148","title":"Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation","created":"2021-04-02","cited_by_count":88,"area":null},{"id":"2109.02123","title":"Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations","created":"2021-09-05","cited_by_count":82,"area":null},{"id":"2405.15364","title":"NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer","created":"2024-05-24","cited_by_count":79,"area":"diffusion"},{"id":"2311.17901","title":"SODA: Bottleneck Diffusion Models for Representation Learning","created":"2023-11-29","cited_by_count":77,"area":"diffusion"},{"id":"2105.13509","title":"Learning to Stylize Novel Views","created":"2021-05-27","cited_by_count":76,"area":null},{"id":"2203.10192","title":"Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification","created":"2022-03-18","cited_by_count":73,"area":null},{"id":"2106.03849","title":"SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition","created":"2021-06-07","cited_by_count":69,"area":null},{"id":"2209.15179","title":"Physical Adversarial Attack meets Computer Vision: A Decade Survey","created":"2022-09-30","cited_by_count":67,"area":null},{"id":"2401.17807","title":"Advances in 3D Generation: A Survey","created":"2024-01-31","cited_by_count":63,"area":null},{"id":"2308.12967","title":"NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes","created":"2023-08-24","cited_by_count":53,"area":null},{"id":"2210.12782","title":"Compressing Explicit Voxel Grid Representations: fast NeRFs become also small","created":"2022-10-23","cited_by_count":48,"area":null},{"id":"2303.17603","title":"NeRF-Supervised Deep Stereo","created":"2023-03-30","cited_by_count":46,"area":null},{"id":"2205.14332","title":"V4d: voxel for 4d novel view synthesis","created":"2022-05-28","cited_by_count":43,"area":null},{"id":"2211.14306","title":"RUST: Latent Neural Scene Representations from Unposed Imagery","created":"2022-11-25","cited_by_count":43,"area":null},{"id":"2304.10448","title":"ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects","created":"2023-04-20","cited_by_count":42,"area":null},{"id":"2411.16856","title":"SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE","created":"2024-11-25","cited_by_count":39,"area":"mllm"},{"id":"2203.09494","title":"Transframer: Arbitrary Frame Prediction with Generative Models","created":"2022-03-17","cited_by_count":37,"area":null},{"id":"2312.09246","title":"SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds","created":"2023-12-14","cited_by_count":37,"area":null},{"id":"2403.05154","title":"GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting","created":"2024-03-08","cited_by_count":37,"area":null},{"id":"2106.05264","title":"NeRF in detail: Learning to sample for view synthesis","created":"2021-06-09","cited_by_count":35,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2302.06833","title":"VQ3D: Learning a 3D-Aware Generative Model on ImageNet","created":"2023-02-14","cited_by_count":32,"area":null},{"id":"2212.01735","title":"Neural Fourier Filter Bank","created":"2022-12-04","cited_by_count":29,"area":null},{"id":"2305.18035","title":"Physics-Informed Computer Vision: A Review and Perspectives","created":"2023-05-29","cited_by_count":28,"area":null},{"id":"2202.07135","title":"Compositional Scene Representation Learning via Reconstruction: A Survey","created":"2022-02-15","cited_by_count":27,"area":null},{"id":"2209.00648","title":"Cross-Spectral Neural Radiance Fields","created":"2022-09-01","cited_by_count":27,"area":null},{"id":"2304.06700","title":"Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images","created":"2023-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2306.03000","title":"BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields","created":"2023-06-05","cited_by_count":27,"area":null},{"id":"2205.05922","title":"Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation","created":"2022-05-12","cited_by_count":26,"area":null},{"id":"2308.14177","title":"AI-Generated Content (AIGC) for Various Data Modalities: A Survey","created":"2023-08-27","cited_by_count":25,"area":null},{"id":"2310.15168","title":"Ghost on the Shell: An Expressive Representation of General 3D Shapes","created":"2023-10-23","cited_by_count":24,"area":null},{"id":"2412.01801","title":"SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation","created":"2024-12-02","cited_by_count":24,"area":null},{"id":"2505.05474","title":"3D Scene Generation: A Survey","created":"2025-05-08","cited_by_count":24,"area":"diffusion"},{"id":"2302.10351","title":"Variational Autoencoding Neural Operators","created":"2023-02-20","cited_by_count":22,"area":null},{"id":"2404.00874","title":"DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF","created":"2024-04-01","cited_by_count":22,"area":null},{"id":"2306.12570","title":"Local 3D Editing via 3D Distillation of CLIP Knowledge","created":"2023-06-21","cited_by_count":20,"area":null},{"id":"2508.08228","title":"LL3M: Large Language 3D Modelers","created":"2025-08-11","cited_by_count":20,"area":null},{"id":"2411.02229","title":"FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training","created":"2024-11-04","cited_by_count":18,"area":null},{"id":"2207.11232","title":"Neural Groundplans: Persistent Neural Scene Representations from a Single Image","created":"2022-07-22","cited_by_count":17,"area":null},{"id":"2402.03445","title":"Denoising Diffusion via Image-Based Rendering","created":"2024-02-05","cited_by_count":15,"area":"diffusion"},{"id":"2211.13762","title":"ScanNeRF: a Scalable Benchmark for Neural Radiance Fields","created":"2022-11-24","cited_by_count":14,"area":null},{"id":"2407.09733","title":"Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity","created":"2024-07-13","cited_by_count":14,"area":null},{"id":"2403.16885","title":"CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs","created":"2024-03-25","cited_by_count":13,"area":null},{"id":"2210.17415","title":"ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images","created":"2022-10-27","cited_by_count":12,"area":null},{"id":"2411.08033","title":"GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation","created":"2024-11-12","cited_by_count":12,"area":"diffusion"},{"id":"2206.01290","title":"Points2NeRF: Generating Neural Radiance Fields from 3D point cloud","created":"2022-06-02","cited_by_count":11,"area":null},{"id":"2209.04061","title":"im2nerf: Image to Neural Radiance Field in the Wild","created":"2022-09-08","cited_by_count":11,"area":null},{"id":"2301.08883","title":"Versatile Neural Processes for Learning Implicit Neural Representations","created":"2023-01-21","cited_by_count":11,"area":null},{"id":"2310.06020","title":"DyST: Towards Dynamic Neural Scene Representations on Real-World Videos","created":"2023-10-09","cited_by_count":11,"area":null},{"id":"2406.13099","title":"Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models","created":"2024-06-18","cited_by_count":10,"area":"diffusion"},{"id":"2304.14473","title":"Learning a Diffusion Prior for NeRFs","created":"2023-04-27","cited_by_count":9,"area":"diffusion"},{"id":"2309.17175","title":"TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields","created":"2023-09-29","cited_by_count":9,"area":null},{"id":"2304.00947","title":"RePAST: Relative Pose Attention Scene Representation Transformer","created":"2023-04-03","cited_by_count":8,"area":null},{"id":"2304.11342","title":"NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation","created":"2023-04-22","cited_by_count":8,"area":null},{"id":"2301.04101","title":"Neural Radiance Field Codebooks","created":"2023-01-10","cited_by_count":7,"area":null},{"id":"2304.09463","title":"HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks","created":"2023-04-19","cited_by_count":7,"area":null},{"id":"2310.04750","title":"DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures","created":"2023-10-07","cited_by_count":6,"area":"diffusion"},{"id":"2403.00939","title":"G3DR: Generative 3D Reconstruction in ImageNet","created":"2024-03-01","cited_by_count":5,"area":null},{"id":"2401.18075","title":"CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting","created":"2024-01-31","cited_by_count":4,"area":null},{"id":"2301.05747","title":"Laser: Latent Set Representations for 3D Generative Modeling","created":"2023-01-13","cited_by_count":3,"area":null},{"id":"2302.10518","title":"USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency","created":"2023-02-21","cited_by_count":3,"area":null},{"id":"2309.15770","title":"Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering","created":"2023-09-27","cited_by_count":3,"area":"driving"},{"id":"2312.02350","title":"Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator","created":"2023-12-04","cited_by_count":3,"area":null},{"id":"2312.13307","title":"Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models","created":"2023-12-20","cited_by_count":3,"area":"diffusion"},{"id":"2402.05073","title":"NITO: Neural Implicit Fields for Resolution-free Topology Optimization","created":"2024-02-07","cited_by_count":3,"area":null},{"id":"2304.07918","title":"Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation","created":"2023-04-16","cited_by_count":2,"area":null},{"id":"2309.16364","title":"FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2402.01217","title":"ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis","created":"2024-02-02","cited_by_count":2,"area":null},{"id":"2402.17077","title":"Parallelized Spatiotemporal Binding","created":"2024-02-26","cited_by_count":2,"area":null},{"id":"2406.00798","title":"PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency","created":"2024-06-02","cited_by_count":2,"area":null},{"id":"2410.22936","title":"Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder","created":"2024-10-30","cited_by_count":2,"area":null},{"id":"2511.22121","title":"Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation","created":"2025-11-27","cited_by_count":2,"area":null},{"id":"2210.15663","title":"Deep Generative Models on 3D Representations: A Survey","created":"2022-10-27","cited_by_count":1,"area":null},{"id":"2211.00597","title":"Mixed Reality Interface for Digital Twin of Plant Factory","created":"2022-10-29","cited_by_count":1,"area":null}],"next_cursor":"100"}