Hritam Basak
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About
Hritam Basak is a rising researcher at the forefront of 3D computer vision and generative AI, with a focus on enabling machines to perceive and interact with the world in three dimensions from minimal visual input. His work centers on single-image 3D reconstruction, a critical capability for robotic perception, autonomous navigation, and dexterous manipulation. In his highly cited 2025 paper, "Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors," Basak tackles the fundamental challenge of generating complete 3D geometry and texture from a single unposed RGB image. By integrating Gaussian splatting with hybrid diffusion priors, his approach achieves state-of-the-art results in reconstructing objects for precise robotic grasping and scene understanding. Though early in his career, his contributions are already shaping how autonomous systems can build rich 3D representations from sparse visual data—a cornerstone for next-generation embodied AI. Basak’s work stands out for its practical impact on real-world robotics, bridging the gap between generative models and physical interaction.
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