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Mikhail Bessmeltsev

2 accepted papers

2026

SketchingReality: From Freehand Scene Sketches to Photorealistic Images

ICLR 2026poster

Recent years have witnessed remarkable progress in generative AI, with natural language emerging as the most common conditioning input. As underlying models grow more powerful, researchers are exploring increasingly diverse conditioning signals -- such as depth maps, edge maps, camera parameters, an…

Cited by 0SourceScholar
2021

Learning Manifold Patch-Based Representations of Man-Made Shapes

ICLR 2021poster

Choosing the right representation for geometry is crucial for making 3D models compatible with existing applications. Focusing on piecewise-smooth man-made shapes, we propose a new representation that is usable in conventional CAD modeling pipelines and can also be learned by deep neural networks. W…