2 papers
cs.CV2024
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models
BaÅak Melis Ãcal, Maxim Tatarchenko, Sezer Karaoglu +1
Point cloud completion aims to recover the complete 3D shape of an object from partial observations. While approaches relying on synthetic shape priors achieved promising results i…
cs.CV2024
SceneTeller: Language-to-3D Scene Generation
BaÅak Melis Ãcal, Maxim Tatarchenko, Sezer Karaoglu +1
Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming proce…