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Valentin Gourmet

dblp:435/3787 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Generative modeling · 50% 3D vision · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › neural rendering
3d gaussian splatting
0.912025
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation · ICCV 2025
Computer vision › 3D vision › 3d generation
3d scene generation
0.912025
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation · ICCV 2025
Machine learning › Generative modeling › diffusion model › controllable generation
controllable scene generation
0.912025
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation · ICCV 2025
Machine learning › Generative modeling
diffusion model
0.912025
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation · ICCV 2025

Methods — techniques the papers use, named apart from their topics

gaussian splatting · 0.9diffusion · 0.9
YearPublicationVenuePosition
2025 MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation
Anjun Hu, Richard Tomsett, Valentin Gourmet, Massimo Camplani, Jas Kandola, Hanting Xie
ICCV3