integration
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Doğuş Can Korkmaz
doguscank
AI & ML interests
Vision, LLMs, vLLMs, semantic segmentation, forecasting
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doguscank's activity
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collection
1 day ago
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a
model
1 day ago
liked
2
models
3 days ago
upvoted
3
papers
4 days ago
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity
Paper
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2411.15411
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Published
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7
SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE
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2411.16856
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Published
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7
TEXGen: a Generative Diffusion Model for Mesh Textures
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2411.14740
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Published
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12
upvoted
3
papers
5 days ago
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
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2411.15466
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Published
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33
Material Anything: Generating Materials for Any 3D Object via Diffusion
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2411.15138
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Published
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40
One Diffusion to Generate Them All
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2411.16318
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Published
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23
Reacted to
Jaward's
post with 🔥
12 days ago
Post
1611
Ok RNNs can rap too:)
Here we implement the seminal RNN paper “Generating Text with Recurrent Neural Networks"- we train a character-level multiplicative recurrent neural network model (~250k params) for 1000 epochs with Adam opt on 2pac's "Hit 'em Up", sample was fun lol.
Code: https://github.com/Jaykef/ai-algorithms/blob/main/generating_texts_with_rnns.ipynb
Here we implement the seminal RNN paper “Generating Text with Recurrent Neural Networks"- we train a character-level multiplicative recurrent neural network model (~250k params) for 1000 epochs with Adam opt on 2pac's "Hit 'em Up", sample was fun lol.
Code: https://github.com/Jaykef/ai-algorithms/blob/main/generating_texts_with_rnns.ipynb
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