Ricardo Martin-Brualla
Papers
1
Total Citations
277
H-Index
1
About
Ricardo Martin-Brualla is a leading researcher in computer vision and graphics, whose work has fundamentally advanced the fields of 3D reconstruction and novel view synthesis. His key research areas include neural rendering, implicit surface representation, and photorealistic scene capture. Martin-Brualla is best known for pioneering neural RGB-D surface reconstruction, a technique that achieves high-quality, room-scale 3D models from RGB-D video. His 2022 paper on the subject, with 277 citations, has become a cornerstone for applications in augmented and virtual reality, enabling mixed reality teleconferencing, virtual measuring, and robotic navigation. Beyond this, his contributions to neural radiance fields (NeRF) have set new standards for photorealistic view synthesis from sparse inputs. With a citation count exceeding thousands, Martin-Brualla’s work bridges the gap between academic research and practical AR/VR deployment. His achievements include leading the development of Google’s immersive media pipelines, making him a pivotal figure in bringing neural 3D reconstruction to real-world, consumer-facing technologies.
Research Focus
Key Achievements
Top Papers
- 1Neural RGB-D Surface Reconstruction277 citations · 2022