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Collections including paper arxiv:2404.09967

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Paper • 2310.19512 • Published Oct 30, 2023 • 15
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Paper • 2401.09047 • Published Jan 17 • 13

ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection

Paper • 2403.19888 • Published Mar 29 • 10
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 104

Adapters & Controls

X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model

Paper • 2312.02238 • Published Dec 4, 2023 • 25
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Paper • 2308.06721 • Published Aug 13, 2023 • 29
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Paper • 2302.08453 • Published Feb 16, 2023 • 9
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs

Paper • 2311.13600 • Published Nov 22, 2023 • 42

Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Paper • 2401.15977 • Published Jan 29 • 37
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 86
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Paper • 2307.04725 • Published Jul 10, 2023 • 64
Boximator: Generating Rich and Controllable Motions for Video Synthesis

Paper • 2402.01566 • Published Feb 2 • 26

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 • 9
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 16
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 59
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 73

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

Paper • 2312.09608 • Published Dec 15, 2023 • 13
CodeFusion: A Pre-trained Diffusion Model for Code Generation

Paper • 2310.17680 • Published Oct 26, 2023 • 69
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image

Paper • 2310.17994 • Published Oct 27, 2023 • 8
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Paper • 2401.02677 • Published Jan 5 • 22

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Paper • 2306.07967 • Published Jun 13, 2023 • 24
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Paper • 2306.07954 • Published Jun 13, 2023 • 113
TryOnDiffusion: A Tale of Two UNets

Paper • 2306.08276 • Published Jun 14, 2023 • 73
Seeing the World through Your Eyes

Paper • 2306.09348 • Published Jun 15, 2023 • 33

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