Search Results for author: Maitreya Suin

Found 18 papers, 3 papers with code

CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models

no code implementations8 Feb 2024 Maitreya Suin, Rama Chellappa

On the other hand, a more flexible latent space can capture intricate facial details better, but is extremely difficult to optimize for highly degraded faces using existing techniques.

Blind Face Restoration Disentanglement +1

Unsupervised network for low-light enhancement

no code implementations5 Jun 2023 Praveen Kandula, Maitreya Suin, A. N. Rajagopalan

Different ablation studies show the importance of PAM and CIN in improving the visible quality of the image.

Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images

no code implementations21 Nov 2022 Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

Both inversion of real images and determination of controllable latent directions are computationally expensive operations.

Image Generation

Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation

no code implementations20 Nov 2022 Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

Our model fuses per-pixel local information learned using two fully convolutional depth encoders with global contextual information learned by a transformer encoder at different scales.

Depth Prediction Monocular Depth Estimation +1

Adaptive Image Inpainting

no code implementations1 Jan 2022 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

We deploy cross and self distillation techniques and discuss the need for a dedicated completion-block in encoder to achieve the distillation target.

Image Inpainting

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

no code implementations ICCV 2021 Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti

However, we hypothesize that such spatially rigid processing is suboptimal for simultaneously restoring the degraded pixels as well as reconstructing the clean regions of the image.

Image Restoration

Gated Spatio-Temporal Attention-Guided Video Deblurring

no code implementations CVPR 2021 Maitreya Suin, A. N. Rajagopalan

Video deblurring remains a challenging task due to the complexity of spatially and temporally varying blur.

Deblurring

Distillation-Guided Image Inpainting

no code implementations ICCV 2021 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

Image inpainting methods have shown significant improvements by using deep neural networks recently.

Image Inpainting

Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

no code implementations CVPR 2020 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

Existing approaches achieve a large receptive field by increasing the number of generic convolution layers and kernel-size, but this comes at the expense of of the increase in model size and inference speed.

Ranked #25 on Image Deblurring on GoPro (using extra training data)

Deblurring Image Deblurring

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