Shweta Mahajan

Orcid: 0000-0002-5413-9142

According to our database1, Shweta Mahajan authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DDIL: Improved Diffusion Distillation With Imitation Learning.
CoRR, 2024

Visual Concept-driven Image Generation with Text-to-Image Diffusion Model.
CoRR, 2024

Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Keypoints from Pretrained Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Unsupervised Semantic Correspondence Using Stable Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Make-A-Story: Visual Memory Conditioned Consistent Story Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multimodales Repräsentationslernen für diversifizierte Synthese.
Ausgezeichnete Informatikdissertationen, 2022

Multimodal Representation Learning for Diverse Synthesis with Deep Generative Models.
PhD thesis, 2022

2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diverse Image Captioning with Grounded Style.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Diverse Image Captioning with Context-Object Split Latent Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings.
Proceedings of the 8th International Conference on Learning Representations, 2020

Normalizing Flows With Multi-Scale Autoregressive Priors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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