DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting
Paper
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2404.06903
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Published
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18
Papers - Image - Encoders - ViT
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CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 26 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 12 -
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models
Paper • 2404.17672 • Published • 18 -
Data curation via joint example selection further accelerates multimodal learning
Paper • 2406.17711 • Published • 3 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 25 -
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Paper • 2203.03897 • Published • 1 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 41