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Anindita Ghosh

3 accepted papers

2026

SceMoS: Scene-Aware 3D Human Motion Synthesis by Planning with Geometry-Grounded Tokens

Anindita Ghosh, Vladislav Golyanik, Taku Komura, Philipp Slusallek, Christian Theobalt, Rishabh Dabral
CVPR 2026

Synthesizing text-driven 3D human motion within realistic scenes requires learning both semantic intent ("walk to the couch") and physical feasibility (e.g., avoiding collisions). Current methods use generative frameworks that simultaneously learn high-level planning and low-level contact reasoning,

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2025

SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction

Zhengyuan Li, Kai Cheng, Anindita Ghosh, Uttaran Bhattacharya, Liangyan Gui, Aniket Bera
CVPR 2025poster

Text-based 3D human motion editing is a critical yet challenging task in computer vision and graphics. While training-free approaches have been explored, the recent release of the MotionFix dataset, which includes source-text-motion triplets, has opened new avenues for training, yielding promising r…

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2021

Synthesis of Compositional Animations From Textual Descriptions

Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, Philipp Slusallek
ICCV 2021poster

How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" How unstructured and complex can we make a sentence and still generate plausible movements from it?" These are questions that need to be answered in the long-run, as the field i…

Cited by 202PDF ↗code ↗Scholar ↗