{"total":19,"rows":[{"id":"2207.11911","title":"NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing","created":"2022-07-25","cited_by_count":142,"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":"2305.06131","title":"Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era","created":"2023-05-10","cited_by_count":61,"area":null},{"id":"2111.10427","title":"DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering","created":"2021-11-19","cited_by_count":60,"area":null},{"id":"2505.21925","title":"RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination","created":"2025-05-28","cited_by_count":23,"area":null},{"id":"2308.06173","title":"Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook","created":"2023-08-11","cited_by_count":20,"area":null},{"id":"2108.04543","title":"Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future","created":"2021-08-10","cited_by_count":18,"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":"2311.12490","title":"Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields","created":"2023-11-21","cited_by_count":6,"area":null},{"id":"2408.01126","title":"IG-SLAM: Instant Gaussian SLAM","created":"2024-08-02","cited_by_count":6,"area":null},{"id":"2106.05429","title":"Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images","created":"2021-06-09","cited_by_count":4,"area":null},{"id":"2402.00028","title":"Neural Rendering and Its Hardware Acceleration: A Review","created":"2024-01-06","cited_by_count":4,"area":null},{"id":"2109.08465","title":"Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects","created":"2021-09-17","cited_by_count":2,"area":null},{"id":"2111.10817","title":"Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine","created":"2021-11-21","cited_by_count":2,"area":null},{"id":"2306.08183","title":"ZeroForge: Feedforward Text-to-Shape Without 3D Supervision","created":"2023-06-14","cited_by_count":2,"area":null},{"id":"2311.18311","title":"Anisotropic Neural Representation Learning for High-Quality Neural Rendering","created":"2023-11-30","cited_by_count":2,"area":null},{"id":"2307.07945","title":"Surface Geometry Processing: An Efficient Normal-based Detail Representation","created":"2023-07-16","cited_by_count":0,"area":null},{"id":"2503.00308","title":"Abstract Rendering: Computing All that is Seen in Gaussian Splat Scenes","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2606.19316","title":"NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Field","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}