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Paper Reading

3️⃣ DreamFusion: Text-to-3D using 2D Diffusion

"DreamFusion" proposes Score Distillation Sampling (SDS) which optimizes a randomly-initialized 3D model (NeRF) via gradient descent such that its 2D renderings from random angles achieve a low loss.

3️⃣ MVDream: Multi-view Diffusion for 3D Generation

“MVDream” proposes a multi-view diffusion model as a prior for 3D generation trained on a multi-view dataset and pre-trained image diffusion models, and uses Score Distillation Sampling to solve the 3D consistency problem.

🎞️ Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

"Text2Video-Zero" uses a modified Stable Diffusion model with cross-frame attention and motion dynamics to generate videos without training or optimization.