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Mar 31, 2024
Mar 31, 2024Collections
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Collections including paper arxiv:2403.16990
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Jun 19, 2024
Jun 19, 2024-
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper • 2403.17804 • Published • 19 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 26 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 32 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13
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Mar 26, 2024
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Nov 7, 2024
Nov 7, 2024-
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Paper • 2402.19481 • Published • 23 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 49 -
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Paper • 2403.05135 • Published • 46
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Jul 13, 2024
Jul 13, 2024-
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 46 -
Unsupervised Universal Image Segmentation
Paper • 2312.17243 • Published • 20 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 118 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 33
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Mar 28, 2024
Mar 28, 2024Collection by
Mar 27, 2024
Mar 27, 2024Collection by
Apr 1, 2024
Apr 1, 2024-
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
Paper • 2403.12015 • Published • 68 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 26 -
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
Paper • 2403.16627 • Published • 21 -
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Paper • 2403.17005 • Published • 13
Collection by
Feb 11
Feb 11-
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 15 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 26 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 12 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13
Collection by
Aug 15, 2024
Aug 15, 2024-
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models
Paper • 2312.09608 • Published • 16 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image
Paper • 2310.17994 • Published • 8 -
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss
Paper • 2401.02677 • Published • 24
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Mar 31, 2024
Mar 31, 2024Collection by
Mar 28, 2024
Mar 28, 2024Collection by
Jun 19, 2024
Jun 19, 2024-
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Paper • 2403.17804 • Published • 19 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 26 -
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 32 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13
Collection by
Mar 27, 2024
Mar 27, 2024Collection by
Mar 26, 2024
Mar 26, 2024Collection by
Apr 1, 2024
Apr 1, 2024-
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
Paper • 2403.12015 • Published • 68 -
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation
Paper • 2403.16990 • Published • 26 -
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions
Paper • 2403.16627 • Published • 21 -
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Paper • 2403.17005 • Published • 13
Collection by
Nov 7, 2024
Nov 7, 2024-
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Paper • 2402.19481 • Published • 23 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 49 -
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Paper • 2402.17193 • Published • 26 -
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Paper • 2403.05135 • Published • 46
Collection by
Feb 11
Feb 11-
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 15 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 26 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 12 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13
Collection by
Jul 13, 2024
Jul 13, 2024-
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 46 -
Unsupervised Universal Image Segmentation
Paper • 2312.17243 • Published • 20 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 118 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 33
Collection by
Aug 15, 2024
Aug 15, 2024-
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models
Paper • 2312.09608 • Published • 16 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image
Paper • 2310.17994 • Published • 8 -
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss
Paper • 2401.02677 • Published • 24