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Collections including paper arxiv:2406.10601

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing

Paper • 2406.10601 • Published Jun 15 • 65

Awesome Projects

The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing

Paper • 2406.10601 • Published Jun 15 • 65

Zero-shot Image Editing with Reference Imitation

Paper • 2406.07547 • Published Jun 11 • 30
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing

Paper • 2406.10601 • Published Jun 15 • 65
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale

Paper • 2407.05282 • Published Jul 7 • 12
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

Paper • 2407.16982 • Published Jul 24 • 40

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization

Paper • 2403.00483 • Published Mar 1 • 11
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Paper • 2403.01779 • Published Mar 4 • 26
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Paper • 2401.11605 • Published Jan 21 • 20
FiT: Flexible Vision Transformer for Diffusion Model

Paper • 2402.12376 • Published Feb 19 • 48

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13 • 10
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16 • 10
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17 • 8
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 15
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 58
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 71

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