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Found 23 papers, 10 papers with code
MVD$^2$: Efficient Multiview 3D Reconstruction for Multiview Diffusion
By finetuning pretrained large image diffusion models with 3D data, the MVD methods first generate multiple views of a 3D object based on an image or text prompt and then reconstruct 3D shapes with multiview 3D reconstruction.
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
Games are a simplified model of reality and often serve as a favored platform for Artificial Intelligence (AI) research.
Generative Hierarchical Temporal Transformer for Hand Action Recognition and Motion Prediction
We present a novel framework that concurrently tackles hand action recognition and 3D future hand motion prediction.
StructRe: Rewriting for Structured Shape Modeling
Such a localized rewriting process enables probabilistic modeling of ambiguous structures and robust generalization across object categories.
CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
CAD programs are a popular way to compactly encode shapes as a sequence of operations that are easy to parametrically modify.
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
To solve the non-uniformity of input points, on top of the cross field guided upsampling, we further introduce an iterative strategy that refines the point distribution by moving sparse points onto the desired continuous 3D surface in each iteration.
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
The evolution of wireless networks gravitates towards connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper-connected cyber-physical world.
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation
Our method is built on a two-stage diffusion model.
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Masked autoencoders (MAE) have recently been introduced to 3D self-supervised pretraining for point clouds due to their great success in NLP and computer vision.
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
We pretrained a large {\SST} model on a synthetic Structured3D dataset, which is an order of magnitude larger than the ScanNet dataset.
Ranked #2 on
3D Object Detection
on S3DIS
(using extra training data)
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
To overcome these issues, we propose to fully utilize the regular elements in vector floorplans for more integral segmentation.
Discovering Design Concepts for CAD Sketches
Sketch design concepts are recurring patterns found in parametric CAD sketches.
Implicit Conversion of Manifold B-Rep Solids by Neural Halfspace Representation
We present a novel implicit representation -- neural halfspace representation (NH-Rep), to convert manifold B-Rep solids to implicit representations.
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos
Understanding dynamic hand motions and actions from egocentric RGB videos is a fundamental yet challenging task due to self-occlusion and ambiguity.
ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation
We view the reconstruction of CAD models in the boundary representation (B-Rep) as the detection of geometric primitives of different orders, i. e. vertices, edges and surface patches, and the correspondence of primitives, which are holistically modeled as a chain complex, and show that by modeling such comprehensive structures more complete and regularized reconstructions can be achieved.
Self-Supervised Image Representation Learning with Geometric Set Consistency
We propose a method for self-supervised image representation learning under the guidance of 3D geometric consistency.
Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch
In this work, we present a novel sketch-based system to bridge the concept design and digital modeling of freeform roof-like shapes represented as planar quadrilateral (PQ) meshes.
Safe, efficient and socially-compatible decision of automated vehicles: a case study of unsignalized intersection driving
By investigating the causes of 4, 300 video clips of traffic accidents, we find that the limited dynamic visual field of drivers is one leading factor in inter-vehicle interaction accidents, especially in those involving trucks.
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
Scalable 6D pose estimation for rigid objects from RGB images aims at handling multiple objects and generalizing to novel objects.
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
We present a novel approach for completing and reconstructing 3D shapes from incomplete scanned data by using deep neural networks.
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
We incorporate IMLS surface generation into deep neural networks for inheriting both the flexibility of point sets and the high quality of implicit surfaces.
Supercongruences for central trinomial coefficients
For each $n=0, 1, 2,\ldots$ the central trinomial coefficient $T_n$ is the coefficient of $x^n$ in the expansion of $(x^2+x+1)^n$.
Number Theory Combinatorics
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
Surface meshes are widely used shape representations and capture finer geometry data than point clouds or volumetric grids, but are challenging to apply CNNs directly due to their non-Euclidean structure.
Ranked #27 on
Semantic Segmentation
on ScanNet
