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cs.CV2026

Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting

Avinash Paliwal, Adithya Iyer, Shivin Yadav +2

Precise camera control for reshooting dynamic videos is bottlenecked by the severe scarcity of paired multi-view data for non-rigid scenes. We overcome this limitation with a highl…

cs.CV2026

RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors

Avinash Paliwal, Xilong Zhou, Wei Ye +3

In this paper, we propose RI3D, a novel 3DGS-based approach that harnesses the power of diffusion models to reconstruct high-quality novel views given a sparse set of input images.…

cs.CV2026

PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion

Avinash Paliwal, Xilong Zhou, Andrii Tsarov +1

In this paper, we present PanoDreamer, a novel method for producing a coherent 360° 3D scene from a single input image. Unlike existing methods that generate the scene sequentiall…

cs.CV2024

CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians

Avinash Paliwal, Wei Ye, Jinhui Xiong +4

The field of 3D reconstruction from images has rapidly evolved in the past few years, first with the introduction of Neural Radiance Field (NeRF) and more recently with 3D Gaussian…

cs.CV2024

WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians

Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos +8

While style transfer techniques have been well-developed for 2D image stylization, the extension of these methods to 3D scenes remains relatively unexplored. Existing approaches de…

cs.CV2024

ReShader: View-Dependent Highlights for Single Image View-Synthesis

Avinash Paliwal, Brandon Nguyen, Andrii Tsarov +1

In recent years, novel view synthesis from a single image has seen significant progress thanks to the rapid advancements in 3D scene representation and image inpainting techniques.…