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.

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Recent News

[Aug 24] Our work on generating multiple attribute edit variations AttributeDiffusion accepted at WACV 2025 first round.
[Jul 24] I was awarded the prestigious Satish Dhawan Research Award for significant contributions towards controlling image generative models.
[Jul 24] Our works on fine-grained attribute control in text-to-image models (PreciseControl) and affordance aware human placement (Text2Place) accepted at ECCV 2024.
[Jul 24] Our CVPR 2024 paper BalancingAct on debiasing Diffusion models covered by Times of India.
[Apr 24] Gave a talk on PreciseControl at IISc EECS Symposium 2024.
[Mar 24] Our work on debiasing diffusion models with distribution guidance (BalancingAct) accepted in CVPR 2024.
[Jan 24] Serving as a Teaching Assistant in DS265: Deep Learning for Computer Vision at IISc.
[Jul 23] Our work StrataNeRF on reconstructing stratified scenes accepted in ICCV 2023.
[Apr 23] I was awarded the best presentation award at IISc EECS Symposium 2023, Visual Analytics Cluster.

Publications

2025
	Exploring Attribute Variations in Style-based GANs using Diffusion Models Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu Workshop on Diffusion Models, NeurIPS 2023 WACV 2025 [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]
	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]
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 ACMMM 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

Satish Dhawan Research Award 2024 for significant contributions to the mechanisms for controlling generative models.
Best Presentation Award in Visual Cluster at IISc EECS Research Students Symposium 2023.
Selected for Pradhan Mantri Research Fellowship (PMRF) 2021.
Academics excellence award for 2018 Spring semester IIT Delhi.

Reviewing

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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