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Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
E2E FT Marigold for Depth
⚡97Generate depth maps from images
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E2E FT Marigold for Normals
⚡33Generate normal maps from images
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E2E FT GeoWizard
⚡12Generate depth and normal maps from images
Collections
Discover the best community collections!
Collections including paper arxiv:2409.11355
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Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Paper • 2402.10210 • Published • 34 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 205
-
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 22 -
LLM Pretraining with Continuous Concepts
Paper • 2502.08524 • Published • 30
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Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 35 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 17 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63
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SelfEval: Leveraging the discriminative nature of generative models for evaluation
Paper • 2311.10708 • Published • 17 -
OmniGen: Unified Image Generation
Paper • 2409.11340 • Published • 115 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 75 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31
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LocalMamba: Visual State Space Model with Windowed Selective Scan
Paper • 2403.09338 • Published • 8 -
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Paper • 2403.09394 • Published • 26 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 34 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 29
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Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Paper • 2305.06131 • Published • 2 -
Perpetual Humanoid Control for Real-time Simulated Avatars
Paper • 2305.06456 • Published • 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper • 2305.10973 • Published • 42 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 13
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SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Paper • 2408.14176 • Published • 62 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 127 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper • 2409.01199 • Published • 14
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MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 35 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 42 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31
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Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper • 2406.09416 • Published • 29 -
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 30 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 13 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 13
-
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
E2E FT Marigold for Depth
⚡97Generate depth maps from images
-
E2E FT Marigold for Normals
⚡33Generate normal maps from images
-
E2E FT GeoWizard
⚡12Generate depth and normal maps from images
-
LocalMamba: Visual State Space Model with Windowed Selective Scan
Paper • 2403.09338 • Published • 8 -
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Paper • 2403.09394 • Published • 26 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 34 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 29
-
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Paper • 2402.10210 • Published • 34 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 205
-
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Paper • 2305.06131 • Published • 2 -
Perpetual Humanoid Control for Real-time Simulated Avatars
Paper • 2305.06456 • Published • 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper • 2305.10973 • Published • 42 -
LDM3D: Latent Diffusion Model for 3D
Paper • 2305.10853 • Published • 13
-
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 140 -
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 22 -
LLM Pretraining with Continuous Concepts
Paper • 2502.08524 • Published • 30
-
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Paper • 2408.14176 • Published • 62 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 127 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper • 2409.01199 • Published • 14
-
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 35 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 17 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63
-
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 35 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 42 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31
-
SelfEval: Leveraging the discriminative nature of generative models for evaluation
Paper • 2311.10708 • Published • 17 -
OmniGen: Unified Image Generation
Paper • 2409.11340 • Published • 115 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 75 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 31
-
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper • 2406.09416 • Published • 29 -
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 30 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 13 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 13