activity
20082026
most citedViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields

38 citations · 93 across the 25 of their papers we have counts for

collaborators

26 papers

cs.CV2026

Temporally Aware Densification for Dynamic 3D Gaussian Splatting

Vikram Sandu, Mayurdeep Pathak, Rajiv Soundararajan

Despite modeling temporal motion, dynamic 3D Gaussian Splatting (3DGS) methods still inherit a static densification strategy that is ill-suited for dynamic scenes. This neglect of…

cs.CV2025

DynamicEval: Rethinking Evaluation for Dynamic Text-to-Video Synthesis

Nithin C. Babu, Aniruddha Mahapatra, Harsh Rangwani +2

Existing text-to-video (T2V) evaluation benchmarks, such as VBench and EvalCrafter, suffer from two limitations. (i) While the emphasis is on subject-centric prompts or static came…

cs.GR2025★ 3 cited

AD-GS: Alternating Densification for Sparse-Input 3D Gaussian Splatting

Gurutva Patle, Nilay Girgaonkar, Nagabhushan Somraj +1

3D Gaussian Splatting (3DGS) has shown impressive results in real-time novel view synthesis. However, it often struggles under sparse-view settings, producing undesirable artifacts…

eess.IV2024

UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors

Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni +2

With the rise of marine exploration, underwater imaging has gained significant attention as a research topic. Underwater video enhancement has become crucial for real-time computer…

eess.IV2024

Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization

Shankhanil Mitra, Diptanu De, Shika Rao +1

The design of image and video quality assessment (QA) algorithms is extremely important to benchmark and calibrate user experience in modern visual systems. A major drawback of the…

cs.CV2024★ 6 cited

Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis

Nagabhushan Somraj, Kapil Choudhary, Sai Harsha Mupparaju +1

Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering…