7 papers
3D Gaussian Splatting for Efficient Retrospective Dynamic Scene Novel View Synthesis with a Standardized Benchmark
Yunxiao Zhang, Suryansh Kumar
Retrospective novel view synthesis (NVS) of dynamic scenes is fundamental to applications such as sports. Recent dynamic 3D Gaussian Splatting (3DGS) approaches introduce temporall…
Rethinking Dense Optical Flow without Test-Time Scaling
Praroop Chanda, Suryansh Kumar
Recent progress in dense optical flow has been driven by increasingly complex architectures and multi-step refinement for test-time scaling. While these approaches achieve strong b…
A Dataset and Evaluation for Complex 4D Markerless Human Motion Capture
Yeeun Park, Miqdad Naduthodi, Suryansh Kumar
Marker-based motion capture (MoCap) systems have long been the gold standard for accurate 4D human modeling, yet their reliance on specialized hardware and markers limits scalabili…
Time-Archival Camera Virtualization for Sports and Visual Performances
Yunxiao Zhang, William Stone, Suryansh Kumar
Camera virtualization -- an emerging solution to novel view synthesis -- holds transformative potential for visual entertainment, live performances, and sports broadcasting by enab…
Mobile Robotic Multi-View Photometric Stereo
Suryansh Kumar
Multi-View Photometric Stereo (MVPS) is a popular method for fine-detailed 3D acquisition of an object from images. Despite its outstanding results on diverse material objects, a t…
Evidential Transformers for Improved Image Retrieval
Danilo Dordevic, Suryansh Kumar
We introduce the Evidential Transformer, an uncertainty-driven transformer model for improved and robust image retrieval. In this paper, we make several contributions to content-ba…