collaborators

16 papers

cs.CV2026

MeshOctave: Vertex Split-and-Rewire Cascades for Native Mesh Generation

Junkai Lin, Tianhao Zhao, Hang Long +10

Generating compact, artist-style meshes with explicit topology typically relies on autoregressive models which incur prohibitive sequential per-token costs, or continuous flow mode…

cs.GR2026

LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow

Hang Long, Tianhao Zhao, Junkai Lin +8

Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology-aware mesh generation. Existing approaches, however, model ver…

cs.CV2026

Do Image Editing Models Understand Lighting?

Tim Küchler, Johann-Friedrich Feiden, Matthias Nießner +1

While recent advancements in generative image editing models have achieved stunning visual fidelity, it remains an open question whether these systems possess an intrinsic knowledg…

cs.CV2026

OneCanvas: 3D Scene Understanding via Panoramic Reprojection

Bartłomiej Baranowski, Dave Zhenyu Chen, Matthias Nießner

Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spat…

cs.CV2026

TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

Haoxuan Li, Ziya Erkoç, Daniele Sirigatti +4

We present TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry conditions such as signed distance fie…

cs.CV2026

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction

Katharina Schmid, Nicolas von Lützow, Jozef Hladký +2

We introduce a new approach to high-fidelity 3D scene reconstruction from multi-view RGB images that tightly couples reconstruction with a strong generative 3D prior. We cast scene…

cs.CV2026

DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing

Jinxin Ai, Matthias Nießner, Ziya Erkoç

While 2D diffusion models have achieved remarkable success in identity-preserving personalization, extending this capability to 3D assets remains a significant challenge due to the…

cs.CV2026

WorldAgents: Can Foundation Image Models be Agents for 3D World Models?

Ziya Erkoç, Angela Dai, Matthias Nießner

Given the remarkable ability of 2D foundation image models to generate high-fidelity outputs, we investigate a fundamental question: do 2D foundation image models inherently posses…

cs.CV2026

World Reconstruction From Inconsistent Views

Lukas Höllein, Matthias Nießner

Video diffusion models generate high-quality and diverse worlds; however, individual frames often lack 3D consistency across the output sequence, which makes the reconstruction of…

cs.CV2026

LATO: 3D Mesh Flow Matching with Structured TOpology Preserving LAtents

Tianhao Zhao, Youjia Zhang, Hang Long +7

In this paper, we introduce LATO, a novel topology-preserving latent representation that enables scalable, flow matching-based synthesis of explicit 3D meshes. LATO represents a me…

cs.CV2026

GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation

Nicolas von Lützow, Barbara Rössle, Katharina Schmid +1

Most recent advances in 3D generative modeling rely on diffusion or flow-matching formulations. We instead explore a fully autoregressive alternative and introduce GaussianGPT, a t…

cs.CV2025

MeshRipple: Structured Autoregressive Generation of Artist-Meshes

Junkai Lin, Hang Long, Huipeng Guo +8

Meshes serve as a primary representation for 3D assets. Autoregressive mesh generators serialize faces into sequences and train on truncated segments with sliding-window inference…

cs.CV2025

Zero-shot Inexact CAD Model Alignment from a Single Image

Pattaramanee Arsomngern, Sasikarn Khwanmuang, Matthias Nießner +1

One practical approach to infer 3D scene structure from a single image is to retrieve a closely matching 3D model from a database and align it with the object in the image. Existin…

cs.CV2025

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer +3

We present PBR-SR, a novel method for physically based rendering (PBR) texture super resolution (SR). It outputs high-resolution, high-quality PBR textures from low-resolution (LR)…

cs.CV2025

MTGS: Multi-Traversal Gaussian Splatting

Tianyu Li, Yihang Qiu, Zhenhua Wu +4

Multi-traversal data, commonly collected through daily commutes or by self-driving fleets, provides multiple viewpoints for scene reconstruction within a road block. This data offe…

cs.CV2025

LinPrim: Linear Primitives for Differentiable Volumetric Rendering

Nicolas von Lützow, Matthias Nießner

Volumetric rendering has become central to modern novel view synthesis methods, which use differentiable rendering to optimize 3D scene representations directly from observed views…