3 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
Sketch2Motion: Text-driven 2D Sketch to 3D Animation via Diffusion-guided Skeleton Optimization
Gaurav Rai, Ojaswa Sharma
Animation of 2D hand-drawn sketches provides an effective medium for visual communication. However, these sketches pose challenges, particularly in handling occlusions and accurate…
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
Phu Pham, Aradhya N. Mathur, Ojaswa Sharma +1
The field of text-to-3D content generation has made significant progress in generating realistic 3D objects, with existing methodologies like Score Distillation Sampling (SDS) offe…
Curvy: A Parametric Cross-section based Surface Reconstruction
Aradhya N. Mathur, Apoorv Khattar, Ojaswa Sharma
In this work, we present a novel approach for reconstructing shape point clouds using planar sparse cross-sections with the help of generative modeling. We present unique challenge…
Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstruction
Aarya Patel, Hamid Laga, Ojaswa Sharma
Neural implicit representations have emerged as a powerful paradigm for 3D reconstruction. However, despite their success, existing methods fail to capture fine geometric details a…
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
Aradhya N. Mathur, Phu Pham, Aniket Bera +1
3D generation has rapidly accelerated in the past decade owing to the progress in the field of generative modeling. Score Distillation Sampling (SDS) based rendering has improved 3…