Vision numerique

Computer-Vision-Research-Project (GitHub)   •  Computer-Vision-Research-Project (Wiki)   •  LVSN (Research Laboratory)   •  Institut intelligence et données (IID) (research Institute)   •  Sentinelle Nord (Project)   •  J-F Lalonde Group (Team)   •  Algorithmic Photography (Course)

isabelleysseric (GitHub)   •  isabelleysseric.com (Portfolio)   •  isabelleysseric (LinkedIn)

Articles

The list of articles studied during the internship : • 13 mai : Hierarchical Text-Conditional Image Generation with CLIP Latents[1]
• 20 mai : Gauge Equivariant Convolutional Networks and the Icosahedral CNN [2]
• 27 mai : Learning to Factorize and Relight a City[3]
• 03 juin : Block-NeRF : Scalable Large Scene Neural View Synthesis[4]
• 10 juin : Spatial-Temporal Transformer for Dynamic Scene Graph Generation[5]
• 17 juin : Vision Transformer with Deformable Attention[6]
• 24 juin : Denoising Diffusion Probabilistic Models[7]
• 01 juillet : Instant Neural Graphics Primitives with a Multiresolution Hash Encoding [8]
• 08 juillet : Scene Representation Transformer : Geometry-Free Novel View Synthesis Through...[9]
• 15 juillet : Partial success in closing the gap between human and machine vision[10]
• 22 juillet : Diffusion Models Beat GANs on Image Synthesis[11]
• 29 juillet : Deep Unsupervised Learning using Nonequilibrium Thermodynamics[12]
• 05 aout : Paint By Word[13]
• 12 aout : Dynamic Routing Between Capsules[14]
• 19 aout : Leaning Invariances in Neural Networks[15]
• 26 aout : Learning Transferable Visual Models From Natural Language Supervision[16]

Ressources

[1] Article Hierarchical Text-Conditional Image Generation with CLIP, https://arxiv.org/abs/2204.06125
[2] Article Gauge Equivariant Convolutional Networks and the Icosahedral CNN, https://arxiv.org/abs/1902.04615
[3] Article Learning to Factorize and Relight a City, https://arxiv.org/abs/2008.02796
[4] Article Block-NeRF: Scalable Large Scene Neural View Synthesis, https://arxiv.org/abs/2202.05263
[5] Article Spatial-Temporal Transformer for Dynamic Scene Graph Generation, https://arxiv.org/abs/2107.12309
[6] Article Vision Transformer with Deformable Attention, https://arxiv.org/abs/2201.00520
[7] Article Denoising Diffusion Probabilistic Models, https://arxiv.org/abs/2006.11239
[8] Article Instant Neural Graphics Primitives with a Multiresolution Hash Encoding, https://nvlabs.github.io/instant-ngp/
[9] Article Scene Representation Transformer: Geometry-Free Novel View Synthesis Through ..., https://arxiv.org/abs/2111.13152
[10] Article Partial success in closing the gap between human and machine vision, https://arxiv.org/abs/2106.07411
[11] Article Diffusion Models Beat GANs on Image Synthesis, https://arxiv.org/abs/2105.05233
[12] Article Deep Unsupervised Learning using Nonequilibrium Thermodynamics, https://arxiv.org/abs/1503.03585
[13] Article Paint By Word, https://arxiv.org/abs/2103.10951
[14] Article Dynamic Routing Between Capsules, https://arxiv.org/abs/1710.09829
[15] Article Leaning Invariances in Neural Networks, https://arxiv.org/abs/2010.11882
[16] Article Learning Transferable Visual Models From Natural Language Supervision, https://arxiv.org/abs/2103.00020

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