Saketh Bachu

Visvesvaraya National Institute of Technology

Papers

Total Citations

H-Index

About

Saketh Bachu is a researcher whose work sits at the intersection of deep learning and computer vision, with a particular focus on the challenging task of video generation. His most-cited paper, "A Review of Video Generation Approaches" (2020), has garnered 8 citations and serves as a foundational survey for newcomers and experts alike. In this work, Bachu systematically maps the landscape of techniques used to generate realistic, long-range video sequences from initial frames—a problem with profound implications for autonomous systems, trajectory prediction, and object movement modeling. By synthesizing a rapidly expanding field, he provides a critical resource that helps researchers navigate the diverse approaches in video synthesis. Bachu’s contributions highlight the importance of structured reviews in accelerating progress, and his work continues to influence those seeking to push the boundaries of what AI can generate from limited temporal data.