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Selvakumar Panneer

3 accepted papers

2025

ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction

ICCV 2025accepted

3D Gaussian Splatting (3DGS) is a state-of-art technique to model real-world scenes with high quality and real-time rendering.Typically, a higher quality representation can be achieved by using a large number of 3D Gaussians. However, using large 3D Gaussian counts significantly increases the GPU de…

Cited by 0SourcePDFScholar
2025

Retri3D: 3D Neural Graphics Representation Retrieval

ICLR 2025spotlight

Learnable 3D Neural Graphics Representations (3DNGR) have emerged as promising 3D representations for reconstructing 3D scenes from 2D images. Numerous works, including Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and their variants, have significantly enhanced the quality of these r…

Cited by 0SourcePDFScholar
2023

ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting

ICCV 2023oral

Recent advances in neural rendering have shown great potential for reconstructing scenes from multiview images. However, accurately representing objects with glossy surfaces remains a challenge for existing methods. In this work, we introduce ENVIDR, a rendering and modeling framework for high-quali…

Cited by 51PDFcodeScholar