Search Results for author:
Found 15 papers, 12 papers with code
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Automatically generating presentations from documents is a challenging task that requires balancing content quality, visual design, and structural coherence.
From 2D CAD Drawings to 3D Parametric Models: A Vision-Language Approach
In this paper, we present CAD2Program, a new method for reconstructing 3D parametric models from 2D CAD drawings.
READoc: A Unified Benchmark for Realistic Document Structured Extraction
Document Structured Extraction (DSE) aims to extract structured content from raw documents.
ProtSolM: Protein Solubility Prediction with Multi-modal Features
We provide a comprehensive leaderboard of existing statistical learning and deep learning methods on independent datasets with computational and experimental labels.
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
In this paper, we propose Credibility-aware Generation (CAG), a universally applicable framework designed to mitigate the impact of flawed information in RAG.
PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs
In this paper, we develop a new method to automatically convert 2D line drawings from three orthographic views into 3D CAD models.
Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.
Neural Face Identification in a 2D Wireframe Projection of a Manifold Object
In computer-aided design (CAD) systems, 2D line drawings are commonly used to illustrate 3D object designs.
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
With the rapid development of data-driven techniques, data has played an essential role in various computer vision tasks.
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.
Layout-Guided Novel View Synthesis from a Single Indoor Panorama
Then, we leverage the room layout prior, a strong structural constraint of the indoor scene, to guide the generation of target views.
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively.
Deep Reinforcement Learning
Interactive Video Object Segmentation
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding.
PPGNet: Learning Point-Pair Graph for Line Segment Detection
In this paper, we present a novel framework to detect line segments in man-made environments.
Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding
In the first stage, we train a CNN to map each pixel to an embedding space where pixels from the same plane instance have similar embeddings.
Ranked #1 on
Plane Instance Segmentation
on NYU Depth v2
