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pro vyhledávání: '"SINGH, BHARAT"'
Autor:
Saini, Nirat, Bodla, Navaneeth, Shrivastava, Ashish, Ravichandran, Avinash, Zhang, Xiao, Shrivastava, Abhinav, Singh, Bharat
We introduce InVi, an approach for inserting or replacing objects within videos (referred to as inpainting) using off-the-shelf, text-to-image latent diffusion models. InVi targets controlled manipulation of objects and blending them seamlessly into
Externí odkaz:
http://arxiv.org/abs/2407.10958
Autor:
Singh, Bharat, Kulharia, Viveka, Yang, Luyu, Ravichandran, Avinash, Tyagi, Ambrish, Shrivastava, Ashish
Multimodal synthetic data generation is crucial in domains such as autonomous driving, robotics, augmented/virtual reality, and retail. We propose a novel approach, GenMM, for jointly editing RGB videos and LiDAR scans by inserting temporally and geo
Externí odkaz:
http://arxiv.org/abs/2406.10722
Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent generative foundation models built using text-based latent diffusion t
Externí odkaz:
http://arxiv.org/abs/2303.12343
Autor:
Singh, Bharat, Kumari, Smita, Kureel, Amit Kumar, Saini, Sheetal, Prakash, Satya, Shah, Arunim, Chaturvedi, Chandra Prakash, Singh, Kulwant, Rai, Ambak Kumar
Publikováno v:
In Experimental Cell Research 1 November 2024 443(1)
Autor:
Lata, Suman, Gupta, Sanjeev Kumar, Kumar, Gaurav, Yadav, Suresh, Mohanty, Suman Sundar, Prasad, Pooja, Singh, Bharat, Singh, Sangeeta, Saroha, Poonam, Kumar, Dinesh, Singh, Prem, Vikram, Kumar, Savargaonkar, Deepali, Singh, Himmat
Publikováno v:
In IJID Regions September 2024 12