Ankit Dhiman

ankitd@iisc.ac.in

I am a fourth-year Ph.D. (ERP) student at IISc Bangalore, advised by Prof. Venkatesh Babu. Also, I work full-time at Samsung Research Institute - Bangalore, focusing on perception solutions.

My research expertise lies in Computer Vision, Deep Learning, Generative AI, and Image Processing. Specifically, my current work explores interesting applications using the 3D representations like 3D Gaussian Splatting (3DGS) and NeRF. I am also keenly interested in leveraging 3D vision and generative models to solve challenging tasks, such as reflection generation on a mirror.

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Ankit Dhiman Ankit Dhiman, animated

Recent News

  • [June 26] Our works Towards Alias-Free 4D Gaussian Representations and AdaptiveSplat accepted at ECCV 2026!!
  • [May 26] Awarded Outstanding Reviewer at CVPR 2026!
  • [Feb 26] Our work, Turbo-GS, accepted as a Highlight at CVPR 2026!!
  • [Nov 25] UniC-Lift updated at AAAI 2026.
  • [May 25] Awarded Outstanding Reveiwer at CVPR 2025!!
  • [Feb 25] MirrorVerse accepted at CVPR 2025!!
  • [Nov 24] Our work on generating consistent mirror reflections (Reflecting Reality) accepted at 3DV 2025.
  • [Aug 24] Our work on colorizing multi-view monochromatic inputs (ChromaDistill) accepted at WACV 2025.
  • [Jul 23] Our work StrataNeRF on reconstructing stratified scenes accepted in ICCV 2023.

Publications

2026

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Towards Alias-Free 4D Gaussian Representations with Motion-Aware Filtering
Ankit Dhiman, Kunal A Kathare, Pranav Vignesh, Lokesh R Boregowda, Venkatesh Babu Radhakrishnan
ECCV 2026
[project page] [paper] [code]
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AdaptiveSplat: Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction
Badrinath Singhal, Srihari K G, Sreehari Iyer, Ankit Dhiman, R. Venkatesh Babu
ECCV 2026
[project page] [paper] [code]
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UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
Ankit Dhiman*, Srinath R*, Jaswanth Reddy*, Lokesh R Boregowda, R. Venkatesh Babu
AAAI 2026
[project page] [paper] [code]
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Turbo-GS: Accelerating 3D Gaussian Fitting for High-Resolution Radiance Fields
Ankit Dhiman*, Tao Lu*, Srinath Ravi*, Emre Arslan, Angela Xing, Yuanbo Xiangli, R. Venkatesh Babu, Srinath Sridhar
CVPR 2026
[project page] [paper] [code]

2025

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MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World
Ankit Dhiman*, Manan Shah*, R. Venkatesh Babu
CVPR 2025
[project page] [paper] [code] [dataset]
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Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections
Ankit Dhiman*, Manan Shah*, Rishubh Parihar, Yash Bhalgat, Lokesh R Boregowda, R Venkatesh Babu
3DV 2025
[project page] [paper] [code]
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ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation
Ankit Dhiman, R Srinath, Srinjay Sarkar, Lokesh R Boregowda, R. Venkatesh Babu
WACV 2025
[project page] [paper] [code]

2023

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Strata-NeRF: Neural Radiance Fields for Stratified Scenes
Ankit Dhiman, R Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R Boregowda, Srinath Sridhar, R. Venkatesh Babu
ICCV 2023
[project page] [paper] [code]

2022

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Everything is in the Latent Space: Attribute Style Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration
Rishubh Parihar, Ankit Dhiman, Tejan Karmali, R. Venkatesh Babu
ACM Multimedia 2022
[project page] [paper]

Reviewing

CVPR, ICCV, ECCV, ACM MM, AAAI, 3DV, BMVC, WACV, ICLR, NeurIPS, SIGGRAPH Asia, TIP, PAMI

Show years
CVPR2024, 2025, 2026
ICCV2025
ECCV2024, 2026
ACM MM2024, 2025, 2026
AAAI2026, 2027
3DV2025
BMVC2026
WACV2025
ICLR2025, 2026
NeurIPS2024, 2025, 2026
SIGGRAPH Asia2026
TIP—
PAMI—

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