Rishubh Parihar

rishubhp@iisc.ac.in

I am a fourth year PhD student at IISc Bangalore, advised by Prof. Venkatesh Babu. Prior to my Ph.D., I gained industry experience at Samsung Research, where I developed face editing solutions for Samsung smartphones, and at ShareChat, focusing on multimodal algorithms for content moderation. I obtained BTech from IIT Delhi in Mathematics and Computing, where I worked with Prof. Prem Kalra on synthetic makeup transfer.

I work on developing methods to enhance controllability in vision generative models, by designing interfaces beyond text to interact with these models.

[Google Scholar] [CV] [Linkedin] [X]


Recent News


Publications

2025


Zero-Shot Depth-Aware Image Editing with Diffusion Models
Rishubh Parihar*, Sachidanand VS*, R. Venkatesh Babu
ICCV 2025
[project page] [paper]
MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection
Rishubh Parihar*, Srinjay Sarkar*, Sarthak Vora*, Jogendra Kundu, R. Venkatesh Babu
CVPR 2025
[project page] [paper]
🧭 Compass Control: Multi-Object Orientation Control for Text-to-Image Generation
Rishubh Parihar*, Vaibhav Agarwal*, Sachidanand VS, R. Venkatesh Babu
CVPR 2025
[project page] [paper]
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]
Attribute Diffusion: Diffusion Driven Diverse Attribute Editing
Rishubh Parihar*, Prasanna Balaji*, Raghav Magazine, Sarthak Vora, Varun Jampani, R. Venkatesh Babu
Workshop on Diffusion Models, NeurIPS 2023
WACV 2025
[project page] [paper]

2024


PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control
Rishubh Parihar*, Sachidanand VS*, Sabariswaran Mani, Tejan Karmali, R. Venkatesh Babu
ECCV 2024
[project page] [paper] [code] [video] [news]
Text2Place: Affordance Aware Text Guided Human Placement
Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu
ECCV 2024
[project page] [paper] [code]
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar*, Abhijnya Bhat*, Saswat Mallick, Abhipsa Basu, Jogendra Nath Kundu, R. Venkatesh Babu
CVPR 2024
[project page] [paper] [code] [news]

2023


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]
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu
Workshop on AI for Content Creation, CVPR 2023
[project page] [paper] [video]

2022


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] [video]
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Manish Singh, R. Venkatesh Babu
ECCV 2022
[project page] [paper]

Honors


Reviewing

ICCV 2025, CVPR 2025, WACV 2025, NeurIPS 2024, ECCV 2024, CVPR 2024, WACV 2024, ICCV 2023, CVPR 2023, ECCV 2022


Teaching

Deep Learning for Computer vision (DS265), IISc
Teaching Assistant with Prof. R. Venkatesh Babu
Spring 2023, 2024


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