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Editing objects within a scene is a critical functionality required across a broad spectrum of applications in computer vision and graphics.
Iqa: Visual question answering in interactive environments
Gordon, D., A. Kembhavi, M. Rastegari, et al · 2018
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Deepsdf: Learning continuous signed distance functions for shape representation
Park, J. J., P. Florence, J. Straub, et al · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Mescheder, L., M. Oechsle, M. Niemeyer, et al · 2019
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Learning implicit fields for generative shape modeling
Chen, Z., H. Zhang · 2019
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Neural volumes: Learning dynamic renderable volumes from images
Lombardi, S., T. Simon, J. Saragih, et al · 2019
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Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Liu, S., Y. Zhang, S. Peng, et al · 2020
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Plenoctrees for real-time rendering of neural radiance fields
Yu, A., R. Li, M. Tancik, et al · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Mildenhall, B., P. P. Srinivasan, M. Tancik, et al · 2021
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In-place scene labelling and understanding with implicit scene representation
Zhi, S., T. Laidlow, S. Leutenegger, et al · 2021
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Learning transferable visual models from natural language supervision
Radford, A., J. W. Kim, C. Hallacy, et al · 2021
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Emerging properties in self-supervised vision transformers
Caron, M., H. Touvron, I. Misra, et al · 2021
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Learning to stylize novel views
Huang, H.-P., H.-Y. Tseng, S. Saini, et al · 2021
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Plenoxels: Radiance fields without neural networks
Fridovich-Keil, S., A. Yu, M. Tancik, et al · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Müller, T., A. Evans, C. Schied, et al · 2022
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Differentiable signed distance function rendering
Vicini, D., S. Speierer, W. Jakob · 2022
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Clip-nerf: Text-and-image driven manipulation of neural radiance fields
Wang, C., M. Chai, M. He, et al · 2022
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Stylizednerf: consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning
Huang, Y.-H., Y. He, Y.-J. Yuan, et al · 2022
Cited alongside, same era.
Extract free dense labels from clip
Zhou, C., C. C. Loy, B. Dai · 2022
Cited alongside, same era.
Decomposing nerf for editing via feature field distillation
Kobayashi, S., E. Matsumoto, V. Sitzmann · 2022
Cited alongside, same era.
Neural feature fusion fields: 3d distillation of self-supervised 2d image representations
Tschernezki, V., I. Laina, D. Larlus, et al · 2022
Cited alongside, same era.
Scanqa: 3d question answering for spatial scene understanding
Azuma, D., T. Miyanishi, S. Kurita, et al · 2022
Cited alongside, same era.
Simvqa: Exploring simulated environments for visual question answering
Cascante-Bonilla, P., H. Wu, L. Wang, et al · 2022
Instruct-nerf2nerf: Editing 3d scenes with instructions
Haque, A., M. Tancik, A. A. Efros, et al · 2023
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Instructpix2pix: Learning to follow image editing instructions
Brooks, T., A. Holynski, A. A. Efros · 2023
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3d gaussian splatting for real-time radiance field rendering
Kerbl, B., G. Kopanas, T. Leimkühler, et al · 2023
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Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
Chen, Y., Z. Chen, C. Zhang, et al · 2023
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Gaussianeditor: Editing 3d gaussians delicately with text instructions
Fang, J., J. Wang, X. Zhang, et al · 2023
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Cited alongside, same era.
Voxel-informed language grounding
Corona, R., S. Zhu, D. Klein, et al · 2022
Cited alongside, same era.
Language grounding with 3d objects
Thomason, J., M. Shridhar, Y. Bisk, et al · 2022
Cited alongside, same era.
Snerf: stylized neural implicit representations for 3d scenes
Nguyen-Phuoc, T., F. Liu, L. Xiao · 2022
Cited alongside, same era.
Palettenerf: Palette-based color editing for nerfs
Wu, Q., J. Tan, K. Xu · 2022
Cited alongside, same era.
Arf: Artistic radiance fields
Zhang, K., N. Kolkin, S. Bi, et al · 2022
Cited alongside, same era.
Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures
Chen, Z., T. Funkhouser, P. Hedman, et al · 2023
Cited alongside, same era.
Qin, M., W. Li, J. Zhou, et al · 2023
Later among the works it cites.
Mvdream: Multi-view diffusion for 3d generation
Shi, Y., P. Wang, J. Ye, et al · 2023
Later among the works it cites.
Panoptic lifting for 3d scene understanding with neural fields
Siddiqui, Y., L. Porzi, S. R. Buló, et al · 2023
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Lerf: Language embedded radiance fields
Kerr, J., C. M. Kim, K. Goldberg, et al · 2023
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Weakly supervised 3d open-vocabulary segmentation
Liu, K., F. Zhan, J. Zhang, et al · 2023
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Segment anything
Kirillov, A., E. Mintun, N. Ravi, et al · 2023
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Gaussian grouping: Segment and edit anything in 3d scenes
Ye, M., M. Danelljan, F. Yu, et al · 2023
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threestudio: A unified framework for 3d content generation
Guo, Y.-C., Y.-T. Liu, R. Shao, et al · 2023
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Fmgs: Foundation model embedded 3d gaussian splatting for holistic 3d scene understanding
Zuo, X., P. Samangouei, Y. Zhou, et al · 2024
Closest in time.
Featup: A model-agnostic framework for features at any resolution
Fu, S., M. Hamilton, L. Brandt, et al · 2024
Closest in time.