Emergence of Painting Ability via Recognition-Driven Evolution | Paper Citation Record

Observation febca72c-4751-48a3-9450-40f6c9b0d396 · outbound

This paper cites Generative adversar- ial networks for extreme learned image compression.

Emergence of Painting Ability via Recognition-Driven Evolution Generative adversar- ial networks for extreme learned image compression

Reference 1

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Observation cae26892-f9c7-41a5-abbe-3af56d3ab382 · outbound

This paper cites Multi-realism image compression with a conditional generator.

Emergence of Painting Ability via Recognition-Driven Evolution Multi-realism image compression with a conditional generator

Reference 2

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Observation c6b9f98e-1369-4b5d-bc6d-87f5d0d335ca · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Emergence of Painting Ability via Recognition-Driven Evolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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This paper cites Basic color terms: Their univer- sality and evolution.

Emergence of Painting Ability via Recognition-Driven Evolution Basic color terms: Their univer- sality and evolution

Reference 4

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Observation 27b368c8-c00e-43db-9b9e-30c781100718 · outbound

This paper cites End-to- end object detection with transformers.

Emergence of Painting Ability via Recognition-Driven Evolution End-to- end object detection with transformers

Reference 5

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Observation 19c7bde6-21f5-4514-8235-4cfe94ff4050 · outbound

This paper cites Communicating artificial neural net- works develop efficient color-naming systems.

Emergence of Painting Ability via Recognition-Driven Evolution Communicating artificial neural net- works develop efficient color-naming systems

Reference 6

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Observation 80efafa7-79ca-408a-97a9-4d98ae529b45 · outbound

This paper cites Learning to generate line drawings that convey geometry and semantics.

Emergence of Painting Ability via Recognition-Driven Evolution Learning to generate line drawings that convey geometry and semantics

Reference 7

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Observation 3d509e2d-7dce-4035-884e-8d540d14c00f · outbound

This paper cites You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction.

Emergence of Painting Ability via Recognition-Driven Evolution You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction

Reference 8

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Observation a26e167c-0640-47fd-abfb-3a17e1283761 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Emergence of Painting Ability via Recognition-Driven Evolution Imagenet: A large-scale hierarchical image database

Reference 9

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Observation 85533e1c-3dfe-433b-b1a4-6a843841fd9b · outbound

This paper cites Edge augmentation for large-scale sketch recognition with- out sketches.

Emergence of Painting Ability via Recognition-Driven Evolution Edge augmentation for large-scale sketch recognition with- out sketches

Reference 10

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Observation 5f9448db-0701-4176-b987-b5ae161651cb · outbound

This paper cites How do humans sketch objects? ACM Trans.

Emergence of Painting Ability via Recognition-Driven Evolution How do humans sketch objects? ACM Trans

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.631818Z

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Observation 3bc31cf2-bf75-4503-9407-923a40cba2c2 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Emergence of Painting Ability via Recognition-Driven Evolution The pascal visual object classes (voc) challenge

Reference 12

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Observation 1269c63c-108f-4289-8e87-70abf5317e20 · outbound

This paper cites An adaptive algorithm for spatial gray- scale.

Emergence of Painting Ability via Recognition-Driven Evolution An adaptive algorithm for spatial gray- scale

Reference 13

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Observation bfe098cf-1c36-4268-aac0-a4cf001a8f6f · outbound

This paper cites Clipdraw: Exploring text-to-drawing synthesis through language-image encoders.

Emergence of Painting Ability via Recognition-Driven Evolution Clipdraw: Exploring text-to-drawing synthesis through language-image encoders

Reference 14

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Observation c608b6c8-08a0-4c62-bd9b-eeceb3b6c7a6 · outbound

This paper cites Sketchycoco: Image gener- ation from freehand scene sketches.

Emergence of Painting Ability via Recognition-Driven Evolution Sketchycoco: Image gener- ation from freehand scene sketches

Reference 15

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Observation 9dbfd267-82de-4d88-b14b-2d5d3d2edfa3 · outbound

This paper cites A simple method for color quantization: Octree quantization.

Emergence of Painting Ability via Recognition-Driven Evolution A simple method for color quantization: Octree quantization

Reference 16

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Observation c120080e-f6a4-4989-84bc-f0aeedecf590 · outbound

This paper cites Color naming across languages reflects color use.

Emergence of Painting Ability via Recognition-Driven Evolution Color naming across languages reflects color use

Reference 17

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Observation caeb1466-a0f1-4384-b1a0-41e446b31e97 · outbound

This paper cites Primal sketch: Integrating structure and texture.

Emergence of Painting Ability via Recognition-Driven Evolution Primal sketch: Integrating structure and texture

Reference 18

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Observation 45f4b0ee-0ba6-4d5b-a760-59fcbb5b35e9 · outbound

This paper cites Color image quantization for frame buffer display.

Emergence of Painting Ability via Recognition-Driven Evolution Color image quantization for frame buffer display

Reference 19

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Observation d9d77dfc-188f-415b-aaa6-f1f44ddb342a · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Emergence of Painting Ability via Recognition-Driven Evolution Gaussian Error Linear Units (GELUs)

Reference 20

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Observation 7787fb6f-a313-49ff-85ff-54e7a6ab5dfe · outbound

This paper cites VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priors.

Emergence of Painting Ability via Recognition-Driven Evolution VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priors

Reference 21

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Observation d371cffd-a1de-4259-bee2-c1ea09926351 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Emergence of Painting Ability via Recognition-Driven Evolution Image-to-image translation with conditional adver- sarial networks

Reference 22

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Observation cc19cc69-f6a2-4714-a1af-1a5f85fb5fb4 · outbound

This paper cites Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models.

Emergence of Painting Ability via Recognition-Driven Evolution Vectorfusion: Text-to-svg by abstracting pixel-based diffusion models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:37.792086Z

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Observation 853da25c-bcfd-4781-a6d8-96eac9bed54c · outbound

This paper cites Synthesizing human- like sketches from natural images using a conditional con- volutional decoder.

Emergence of Painting Ability via Recognition-Driven Evolution Synthesizing human- like sketches from natural images using a conditional con- volutional decoder

Reference 24

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Observation dcc656a1-a245-41e5-bc43-d979d94047d7 · outbound

This paper cites Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation.

Emergence of Painting Ability via Recognition-Driven Evolution Diffu- sionclip: Text-guided diffusion models for robust image ma- nipulation

Reference 25

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Observation 88d2c827-28ea-4f04-b8f1-cd34d9e107a2 · outbound

This paper cites Egic: Enhanced low-bit-rate generative image compression guided by semantic segmentation.

Emergence of Painting Ability via Recognition-Driven Evolution Egic: Enhanced low-bit-rate generative image compression guided by semantic segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.440381Z

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Observation 81d0b026-9d3a-4bf8-8c84-143b42e97b26 · outbound

This paper cites Learning geometry- aware representations by sketching.

Emergence of Painting Ability via Recognition-Driven Evolution Learning geometry- aware representations by sketching

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.424295Z

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Observation 54759afa-3458-4e12-8839-09e98a3a4574 · outbound

This paper cites Pose recognition with cascade transformers.

Emergence of Painting Ability via Recognition-Driven Evolution Pose recognition with cascade transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.407614Z

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Observation fb938a82-abf8-4984-81c2-8cd10750ebe6 · outbound

This paper cites Photo-sketching: Inferring contour draw- ings from images.

Emergence of Painting Ability via Recognition-Driven Evolution Photo-sketching: Inferring contour draw- ings from images

Reference 29

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Observation 73cf5910-8043-4424-8e89-9e7e9b5485ef · outbound

This paper cites Differentiable vector graphics rasterization for editing and learning.

Emergence of Painting Ability via Recognition-Driven Evolution Differentiable vector graphics rasterization for editing and learning

Reference 30

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Observation 9c773585-a288-4650-95f2-69c297bded7f · outbound

This paper cites Im2pencil: Controllable pencil illustra- tion from photographs.

Emergence of Painting Ability via Recognition-Driven Evolution Im2pencil: Controllable pencil illustra- tion from photographs

Reference 31

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Observation c989eda4-b1ca-4814-a441-041b73fbc258 · outbound

This paper cites Microsoft coco: Common objects in context.

Emergence of Painting Ability via Recognition-Driven Evolution Microsoft coco: Common objects in context

Reference 32

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Observation 8ae6ac13-fa04-43b0-9b87-825cf0fce018 · outbound

This paper cites A computational investigation into the human representation and processing of visual information.

Emergence of Painting Ability via Recognition-Driven Evolution A computational investigation into the human representation and processing of visual information

Reference 33

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Observation 6a7a3b1c-503d-4097-8c41-7eba20070255 · outbound

This paper cites Project title, Year.

Emergence of Painting Ability via Recognition-Driven Evolution Project title, Year

Reference 34

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Observation d07c19a1-d0f1-42a8-95ef-69f83abcdf37 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Emergence of Painting Ability via Recognition-Driven Evolution Learning transferable visual models from natural language supervi- sion

Reference 35

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Observation 7ef97a44-0a6f-49d5-abc9-47e412446339 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Emergence of Painting Ability via Recognition-Driven Evolution Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 36

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Observation aa932025-1a37-47b0-a66b-8cf1336493c4 · outbound

This paper cites The sketchy database: learning to retrieve badly drawn bunnies.

Emergence of Painting Ability via Recognition-Driven Evolution The sketchy database: learning to retrieve badly drawn bunnies

Reference 37

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Observation 5e7b9472-93a0-4a0d-9f75-d5c50d36aae0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Emergence of Painting Ability via Recognition-Driven Evolution Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 38

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Observation 93ce60c4-2a4d-45f7-a9bf-d382df7cde70 · outbound

This paper cites Learning to sketch with shortcut cycle consistency.

Emergence of Painting Ability via Recognition-Driven Evolution Learning to sketch with shortcut cycle consistency

Reference 39

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Observation 4f312db6-fdf9-49a3-aad2-6b2b1f69e78e · outbound

This paper cites Name your colour for the task: Artificially discover colour naming via colour quantisation transformer.

Emergence of Painting Ability via Recognition-Driven Evolution Name your colour for the task: Artificially discover colour naming via colour quantisation transformer

Reference 40

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Observation 55b7e631-0eb8-4c46-bf17-46f7fa8cd4e8 · outbound

This paper cites Clipasso: Semantically-aware object sketching.

Emergence of Painting Ability via Recognition-Driven Evolution Clipasso: Semantically-aware object sketching

Reference 41

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Observation 9ac10d69-3e2e-4df1-ba2b-6c0f6fe2b67d · outbound

This paper cites Clipascene: Scene sketching with different types and levels of abstraction.

Emergence of Painting Ability via Recognition-Driven Evolution Clipascene: Scene sketching with different types and levels of abstraction

Reference 42

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Observation 1e0e2dd9-078e-4557-b8c3-5e239c3ddf0f · outbound

This paper cites Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019.

Emergence of Painting Ability via Recognition-Driven Evolution Learning robust global representations by penalizing local predictive power.Advances in Neural Information Pro- cessing Systems, 32, 2019

Reference 43

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Observation 1640721f-536f-45fc-b9d5-4ce1e1b06b28 · outbound

This paper cites DiffSketching: Sketch Control Image Synthesis with Diffusion Models.

Emergence of Painting Ability via Recognition-Driven Evolution DiffSketching: Sketch Control Image Synthesis with Diffusion Models

Reference 44

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Observation 25fed863-9624-4987-adcb-af34426e5c10 · outbound

This paper cites Xdog: An extended difference-of-gaussians com- pendium including advanced image stylization.

Emergence of Painting Ability via Recognition-Driven Evolution Xdog: An extended difference-of-gaussians com- pendium including advanced image stylization

Reference 45

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Observation ac0c4491-deb0-4383-8aaf-fe178fb7b036 · outbound

This paper cites Svgdreamer: Text guided svg gener- ation with diffusion model.

Emergence of Painting Ability via Recognition-Driven Evolution Svgdreamer: Text guided svg gener- ation with diffusion model

Reference 46

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Observation 0fce2ac5-a2eb-4ba7-8196-1f2850aa4735 · outbound

This paper cites Drb-gan: A dynamic resblock generative adversar- ial network for artistic style transfer.

Emergence of Painting Ability via Recognition-Driven Evolution Drb-gan: A dynamic resblock generative adversar- ial network for artistic style transfer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.156625Z

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Observation ce0bb5cc-9277-4914-9f4d-eb116f76a18b · outbound

This paper cites On perceptual lossy compression: The cost of percep- tual reconstruction and an optimal training framework.

Emergence of Painting Ability via Recognition-Driven Evolution On perceptual lossy compression: The cost of percep- tual reconstruction and an optimal training framework

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.140872Z

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Observation 82604bf4-a992-46bd-8d00-75d40d1683dc · outbound

This paper cites Improving Fairness in Image Classification via Sketching.

Emergence of Painting Ability via Recognition-Driven Evolution Improving Fairness in Image Classification via Sketching

Reference 49

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Observation 964d5dfe-5a1c-4311-8bfe-11be95e8d61c · outbound

This paper cites The evolution of color naming re- flects pressure for efficiency: Evidence from the recent past.

Emergence of Painting Ability via Recognition-Driven Evolution The evolution of color naming re- flects pressure for efficiency: Evidence from the recent past

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.124763Z

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Observation 0fa17869-99ed-4b40-a480-c772fb459007 · outbound

This paper cites Inversion-based style transfer with diffusion models.

Emergence of Painting Ability via Recognition-Driven Evolution Inversion-based style transfer with diffusion models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.109133Z

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Observation 6dc25461-a893-426a-9349-52c75421a80f · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networks.

Emergence of Painting Ability via Recognition-Driven Evolution Unpaired image-to-image translation using cycle- consistent adversarial networks

Reference 52

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Observation b6407adf-5efd-49ac-abf9-9e8ded0243ec · outbound

This paper cites Sketchyscene: Richly-annotated scene sketches.

Emergence of Painting Ability via Recognition-Driven Evolution Sketchyscene: Richly-annotated scene sketches

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:24:38.081352Z

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