29 citations · 50 across the 28 of their papers we have counts for
12 papers · 1 filter
Unravel: Recovering an Interactive 3D Scene from a Single Image
Hui Shan, Keyang Luo, Binjia Zhou +10
We present Unravel, a training-free framework that turns a single image into an interactive 3D scene, where every object is an independent and movable asset. Existing generators ei…
CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport
Peng Ling, Yingda Yin, Lingting Zhu +5
While 3D Vision-Language Models (3D VLMs) have demonstrated remarkable spatial reasoning capabilities, they suffer from massive visual token counts that create severe computational…
Scenix: Sparse-View 3D Scene Reconstruction via Executable Scene Programs
Kai Li, Lutao Jiang, Zhenyang Li +10
Synthesizing a structured and editable 3D indoor scene from a few uncalibrated RGB views requires more than generating high-quality individual assets: a system must infer the room…
MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstruction
Dehao Hao, Kaiyi Zhang, Tanghui Jia +10
High-fidelity 3D generative modeling increasingly relies on the latent diffusion paradigm, where the reconstruction quality of the underlying 3D VAE becomes a primary bottleneck. E…
ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning
Zijie Wang, Wei Zhang, Weiming Zhang +4
Diffusion models have recently become the dominant paradigm for monocular depth estimation (MDE). However, they implicitly assume that depth can be recovered as a globally smooth f…
PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
Zhenyang Li, Lutao Jiang, Yizhou Zhao +4
Reconstructing realistic, physically plausible garments from a single image remains a fundamental challenge. Template-free methods capture surface geometry but lack explicit sewing…
OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning
Zhijia Liang, Jiaming Li, Weikai Chen +3
Streaming video reasoning requires models to operate in a setting where history grows without bound while meaningful evidence remains scarce. In such a landscape, relevant signal i…
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
Jiaming Li, Zhijia Liang, Weikai Chen +2
Fine-grained open-vocabulary object detection (FG-OVD) aims to detect novel object categories described by attribute-rich texts. While existing open-vocabulary detectors show promi…
DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives
Xiaoxu Meng, Zhongmin Chen, Bo Yang +3
Neural reconstructions often trade structure for fidelity, yielding dense and unstructured meshes with irregular topology and weak part boundaries that hinder editing, animation, a…
SAP: Segment Any 4K Panorama
Lutao Jiang, Zidong Cao, Weikai Chen +14
Promptable instance segmentation is widely adopted in embodied and AR systems, yet the performance of foundation models trained on perspective imagery often degrades on 360° panora…
CanoVerse: 3D Object Scalable Canonicalization and Dataset for Generation and Pose
Li Jin, Yuchen Yang, Weikai Chen +11
3D learning systems implicitly assume that objects occupy a coherent reference frame. Nonetheless, in practice, every asset arrives with an arbitrary global rotation, and models ar…
CoSMo3D: Open-World Promptable 3D Semantic Part Segmentation through LLM-Guided Canonical Spatial Modeling
Li Jin, Weikai Chen, Yujie Wang +7
Open-world promptable 3D semantic segmentation remains brittle as semantics are inferred in the input sensor coordinates. Yet, humans, in contrast, interpret parts via functional r…