activity
20182026
most citedSingle-Image SVBRDF Capture with a Rendering-Aware Deep Network

283 citations · 613 across the 31 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024★ 2 cited

MaterialPicker: Multi-Modal DiT-Based Material Generation

Xiaohe Ma, Valentin Deschaintre, Miloš Hašan +4

High-quality material generation is key for virtual environment authoring and inverse rendering. We propose MaterialPicker, a multi-modal material generator leveraging a Diffusion…

cs.CV2024

SAMa: Material-aware 3D Selection and Segmentation

Michael Fischer, Iliyan Georgiev, Thibault Groueix +3

Decomposing 3D assets into material parts is a common task for artists, yet remains a highly manual process. In this work, we introduce Select Any Material (SAMa), a material selec…

cs.CV2024★ 2 cited

Uncertainty for SVBRDF Acquisition using Frequency Analysis

Ruben Wiersma, Julien Philip, Miloš Hašan +4

This paper aims to quantify uncertainty for SVBRDF acquisition in multi-view captures. Under uncontrolled illumination and unstructured viewpoints, there is no guarantee that the o…

cs.GR2024★ 18 cited

TexSliders: Diffusion-Based Texture Editing in CLIP Space

Julia Guerrero-Viu, Milos Hasan, Arthur Roullier +6

Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural…

cs.CV2024★ 53 cited

RGBX: Image decomposition and synthesis using material- and lighting-aware diffusion models

Zheng Zeng, Valentin Deschaintre, Iliyan Georgiev +5

The three areas of realistic forward rendering, per-pixel inverse rendering, and generative image synthesis may seem like separate and unrelated sub-fields of graphics and vision.…

cs.CV2024

MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment

Duygu Ceylan, Valentin Deschaintre, Thibault Groueix +5

We present MatAtlas, a method for consistent text-guided 3D model texturing. Following recent progress we leverage a large scale text-to-image generation model (e.g., Stable Diffus…

cs.CV2024

MeshLRM: Large Reconstruction Model for High-Quality Meshes

Xinyue Wei, Kai Zhang, Sai Bi +6

We propose MeshLRM, a novel LRM-based approach that can reconstruct a high-quality mesh from merely four input images in less than one second. Different from previous large reconst…

cs.CV2024★ 35 cited

MatSynth: A Modern PBR Materials Dataset

Giuseppe Vecchio, Valentin Deschaintre

We introduce MatSynth, a dataset of 4,000+ CC0 ultra-high resolution PBR materials. Materials are crucial components of virtual relightable assets, defining the interaction of ligh…