VampNet demo is now live on @huggingface spaces by @hugggof try it out: https://
huggingface.co/spaces/descrip
t/vampnet
… https://
x.com/hugggof/status
/1679178387032621074/video/1
…
@_akhaliq
-
VampNet demo now available on Hugging Face Spaces
By
–
-
Village of Whispers: Text to Video AI by Pika Labs
By
–
Village of Whispers, text to video AI, pikalabs by willis.visual pic.twitter.com/GRTNi6he8q
— AK (@_akhaliq) 12 juillet 2023Village of Whispers, text to video AI, pikalabs by willis.visual
-
Reddit Link: Village of Whispers – AI Video Discussion
By
–
reddit thread:
https://reddit.com/r/aivideo/comments/14xe0li/village_of_whispers/
… -
Elon Musk Announces Formation of xAI Company
By
–
Elon Musk Announces xAI https://
x.ai Today we announce the formation of xAI. The goal of xAI is to understand the true nature of the universe. You can meet the team and ask us questions during a Twitter Spaces chat on Friday, July 14th. Team Our team is led by -
AI technique for vertical scene filling in Stable Diffusion
By
–
reddit thread: https://
reddit.com/r/StableDiffus
ion/comments/14xojmf/using_ai_to_fill_the_scenes_vertically/
… -
AI Fills Scenes Vertically Using Cinevizual Technology
By
–
using AI to fill the scenes vertically by cinevizual pic.twitter.com/p2dtDoXkmc
— AK (@_akhaliq) 12 juillet 2023using AI to fill the scenes vertically by cinevizual
-
Test-Time Training Framework for Video Stream Prediction
By
–
Test-Time Training on Video Streams
— AK (@_akhaliq) 12 juillet 2023
paper page: https://t.co/joD2zLc9dJ
Prior work has established test-time training (TTT) as a general framework to further improve a trained model at test time. Before making a prediction on each test instance, the model is trained on the same… pic.twitter.com/AzPRbHhChtTest-Time Training on Streams paper page: https://
huggingface.co/papers/2307.05
014
… Prior work has established test-time training (TTT) as a general framework to further improve a trained model at test time. Before making a prediction on each test instance, the model is trained on the same -
AutoDecoding Latent 3D Diffusion Models for Asset Generation
By
–
AutoDecoding Latent 3D Diffusion Models
— AK (@_akhaliq) 12 juillet 2023
paper page: https://t.co/ftMUZW1hxg
present a novel approach to the generation of static and articulated 3D assets that has a 3D autodecoder at its core. The 3D autodecoder framework embeds properties learned from the target dataset in… pic.twitter.com/IPja1uHPRNAutoDecoding Latent 3D Diffusion Models paper page: https://
huggingface.co/papers/2307.05
445
… present a novel approach to the generation of static and articulated 3D assets that has a 3D autodecoder at its core. The 3D autodecoder framework embeds properties learned from the target dataset in -
Collaborative Score Distillation for Consistent Visual Synthesis
By
–
Collaborative Score Distillation for Consistent Visual Synthesis
— AK (@_akhaliq) 12 juillet 2023
paper page: https://t.co/Lb1yiocpqq
Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when… pic.twitter.com/NzO05zCI8fCollaborative Score Distillation for Consistent Visual Synthesis paper page: https://
huggingface.co/papers/2307.04
787
… Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when -
Emu: Multimodal Foundation Model for Image and Text Generation
By
–
Generative Pretraining in Multimodality paper page: https://
huggingface.co/papers/2307.05
222
… present Emu, a Transformer-based multimodal foundation model, which can seamlessly generate images and texts in multimodal context. This omnivore model can take in any single-modality or multimodal data