8 papers
Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
Vinayak Gupta, Chih-Hao Lin, Shenlong Wang +2
Reconstructing 3D scenes from sparse, unposed images remains challenging under real-world conditions with varying illumination and transient occlusions. Existing methods rely on sc…
PhotonSplat: 3D Scene Reconstruction and Colorization from SPAD Sensors
Sai Sri Teja, Sreevidya Chintalapati, Vinayak Gupta +4
Advances in 3D reconstruction using neural rendering have enabled high-quality 3D capture. However, they often fail when the input imagery is corrupted by motion blur, due to fast…
PaintScene4D: Consistent 4D Scene Generation from Text Prompts
Vinayak Gupta, Yunze Man, Yu-Xiong Wang
Recent advances in diffusion models have revolutionized 2D and 3D content creation, yet generating photorealistic dynamic 4D scenes remains a significant challenge. Existing dynami…
U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields
Vinayak Gupta, Manoj S, Mukund Varma T +1
Underwater images suffer from colour shifts, low contrast, and haziness due to light absorption, refraction, scattering and restoring these images has warranted much attention. In…
GANESH: Generalizable NeRF for Lensless Imaging
Rakesh Raj Madavan, Akshat Kaimal, Badhrinarayanan K +4
Lensless imaging offers a significant opportunity to develop ultra-compact cameras by removing the conventional bulky lens system. However, without a focusing element, the sensor's…
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
Vinayak Gupta, Rongali Simhachala Venkata Girish, Mukund Varma T +2
Neural rendering methods can achieve near-photorealistic image synthesis of scenes from posed input images. However, when the images are imperfect, e.g., captured in very low-light…
Language Models Still Struggle to Zero-shot Reason about Time Series
Mike A. Merrill, Mingtian Tan, Vinayak Gupta +2
Time series are critical for decision-making in fields like finance and healthcare. Their importance has driven a recent influx of works passing time series into language models, l…
GSN: Generalisable Segmentation in Neural Radiance Field
Vinayak Gupta, Rahul Goel, Sirikonda Dhawal +1
Traditional Radiance Field (RF) representations capture details of a specific scene and must be trained afresh on each scene. Semantic feature fields have been added to RFs to faci…