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  • k067 A real-time refraction renderer for volume objects using a polygon-rendering scheme

  • k066 3D Shpae Tokenization

  • k065 Differentiable Neural Surface Refinement for Modeling Transparent Objects

  • k064 Transparent Object Reconstruction via Implicit Differentiable Refraction Rendering

  • k063 Image-Based Relocalization and Alignment for Long-Term Monitoring of Dynamic Underwater Environments

  • k062, G062 Occupancy Networks, Learning 3D Reconstruction in Function Space

  • A Survey of Conversational Search

  • k061 GSCore, Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting

  • k060, G061 GPU-Accelerated Transparent Point-Based Rendering

  • k059, G060 NeuralTO, Neural Reconstruction and View Synthesis of Translucent Objects

  • k058 Were RNNs All We Needed?

  • k057 Ocean-depth measurement using shallow-water wave models

  • OpenAI o3-mini报告

  • k056 Optimal reconstruction of water-waves from noisy pressure measurements at the seabed

  • k055 Robust Ladder Climbing with a Quadrupedal Robot

  • k054 Equivariance, The Lie Derivative for Measuring Learned Equivariance

  • 3D Gaussian Splatting in Robotics, A Survey

  • k053 Gaze-LLE, Gaze Target Estimation via Large-Scale Learned Encoders

  • k052 Bayesian uncertainty analysis for underwater 3D reconstruction with neural radiance fields

  • k051, G059 Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera

  • 常用的AI网站

  • k050, G058 Seathru-NeRF, Neural Radiance Fields in Scattering Media

  • 044, k049, G057 3PSDF, Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies

  • k048 Deep Learning is Not So Mysterious or Different

  • k047 Fast Underwater Scene Reconstruction using Multi-View Stereo and Physical Imaging

  • Sphere Tracing, A Geometric Method for the Antialiased Ray Tracing of Implicit Surfaces

  • k045, G054 WaterNeRF, Neural Radiance Fields for Underwater Scenes

  • 070, L002, k044, G053 Neural Geometric Level of Detail, Real-time Rendering with Implicit 3D Shapes

  • k043 AquaNeRF, Neural Radiance Fields in Underwater Media with Distractor Removal

  • k042 FatesGS, Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency

  • k041 Positive Affect and the Other Side of Coping

  • k040, G052 Transparency for Computer Synthesized images

  • k038 An Approximate Image-Space Approach for Interactive Refraction

  • k037 NeuSG, Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

  • k036 Sea-thru, A Method For Removing Water From Underwater Images

  • k035 RecGS, Removing Water Caustic with Recurrent Gaussian Splatting

  • k035 PBR Translation

  • k033 A Phenomenological AI Foundation Model for Physical Signals

  • G010, L003, k034 NeuS2, Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

  • k032 U2NeRF, Unifying Unsupervised Underwater Image Restoration and Neural Radiance Fields

  • k030 Gaussian Splashing, Direct Volumetric Rendering Underwater

  • k006 Eikonal Rendering, Efficient Light Transport in Refractive Objects

  • G006, k031 Unisurf, Unifying Surface Reconstruction via Implicit Surface Learning

  • k029, G050 Looking Through the Glass Neural Surface Reconstruction Against High Specular Reflections

  • k028, G049 Summed-Area Tables for Texture Mapping

  • k027 SeaSplat, Representing Underwater Scenes with 3D Gaussian Splatting and a Physically Grounded Image Formation Model

  • k026 UW-GS, Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction

  • k025 WaterSplatting, Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting

  • 水下数据集

  • FlashGS, Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

  • k022 MeshSplats, Mesh-Based Rendering with Gaussian Splatting Initialization

  • k021 On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers

  • k020 Moving Least Squares Method and its Improvement, A Concise Review

  • k017 Neural Transmitted Radiance Fields

  • 083 Surfaces Generated by Moving Least Squares Methods

  • k016 A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets

  • Ray Tracing, Intersection of a Ray and a Mesh

  • G045 Bitcoin, A Peer-to-Peer Electronic Cash System

  • G043, k015 From Transparent to Opaque, Rethinking Neural Implicit Surfaces with α-NeuS

  • k018 Nu-NeRF, Neural Reconstruction of Nested Transparent Objects with Uncontrolled Capture Environment

  • G042, k014 Non-Iterative, Feature-Preserving Mesh Smoothing

  • k013 SLAM and 3D Semantic Reconstruction Based on the Fusion of Lidar and Monocular Vision

  • G009, k012 Seeing Through the Glass, Neural 3D Reconstruction of Object Inside a Transparent Container

  • 基于曲率的平滑策略

  • k007, G041 BakedSDF Meshing Neural SDFs for Real-Time View Synthesis

  • G040, k011 Real-time Neural Radiance Caching for Path Tracing

  • k010 Post-quantum cryptography and the quantum future of cybersecurity

  • G039 Brief analysis of DeepSeek R1 and its implications for Generative AI

  • G038 DeepSeek R1 技术报告

  • 3D Gaussian Splatting实训笔记

  • 078 Scaffold-GS, Structured 3D Gaussians for View-Adaptive Rendering

  • 077 Dynamic 3D Gaussian Fields for Urban Areas

  • 066 GlassLoc, Plenoptic Grasp Pose Detection in Transparent Clutter

  • 065 Physically Based Shading at Disney

  • 064 Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior

  • 063 NeReF Neural Refractive Field for Fluid Surface Reconstruction and Rendering

  • 062 Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction

  • 061, k045, G055 3D Gaussian Splatting for Real-Time Radiance Field Rendering

  • 060, k023 NeUDF Learning Neural Unsigned Distance Fields with Volume Rendering

  • 058 Mip-NeRF 360 Unbounded Anti-Aliased Neural Radiance Fields

  • 058 A trip down the graphics pipeline pixel coordinates

  • 057 SeaThru-NeRF, Neural Radiance Fields in Scattering Media

  • 056 Extracting Triangular 3D Models, Materials, and Lighting From Images

  • 055, G044 Environment Matting and Compositing

  • 054 Differentiable refraction-tracing for mesh reconstruction of transparent objects

  • 052 Transparent and Specular Object Reconstruction

  • 051 Eikonal Fields for Refractive Novel-View Synthesis

  • 049 Ref-NeRF, Structured View-Dependent Appearance for Neural Radiance Fields

  • 046 NeTO, Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing

  • 049 Ref-NeuS, Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection

  • 052 吴博剑博士的毕业论文

  • 043 NeRF++ - ANALYZING AND IMPROVINGNEURAL RADIANCE FIELDS

  • 053 A Reflectance Model for Computer Graphics

  • 听论文讲座感想体会

  • 问题导航

  • 网站链接

  • AI绘图关键词

  • 问题导航

  • 每日学习笔记

  • 040 alphaSurf

  • 039 Geometry-consistent Neural Shape Representation with Implicit Displacement Fields

  • 023 HF-NeuS, Improved Surface Reconstruction Using High-Frequency Details

  • GPT聊天记录

  • 038 IGR, Implicit Geometric Regularization for Learning Shapes

  • 037 IDR, Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

  • 036 ClearPose, Large-scale Transparent Object Dataset and Benchmark

  • 035 Through the Looking Glass, Nerual 3D Reconstruction of Transparent Objects

  • 034 Exploiting Semantic Relations for Glass Surface Detection

  • 021 Geo-Neus, Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction

  • 020 SparseNeuS, Fast Generalizable Neural Surface Reconstruction from Sparse Views

  • 音乐鉴赏

  • 020 Phase Transitions, Distance Functions, and Implicit Neural Representations

  • PPT笔记

  • 019 NeuMesh, Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

  • VSCode笔记

  • Vim笔记

  • Whitesides' Group - Writing a Paper

  • 计算机视觉方向的图书

  • 待读论文整理

  • 018, k039 Volume Rendering of Neural Implicit Surfaces

  • 032 Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

  • 017 Marching cubes, A high resolution 3D surface construction algorithm

  • To Read List

  • 016 NeuS Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

  • 论文索引

  • 已读论文整理

  • 已读书目汇总

  • 015 NeRF Representing Scenes as Neural Radiance Fields for View Synthesis

  • 014 Pixel2Mesh, Generating 3D Mesh Models from Single RGB Images

  • 013 A Gentle Introduction to Graph Neural Networks

  • Design Space for Graph Neural Networks

  • Python数据处理

  • 012 Vision Transformer for Dense Prediction

  • 乱码

  • Linux使用方法

  • 主题预览

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