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