Our main contribution is the Guiding Points Network, where we integrate all information from the conditions to generate guiding points. By applying transformation matrices to scene entities (human/objects) with attention weighting, we can forecast the spanning of the target object.
Paper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
knowledge editing | 1 | 16.67% |
Language Modelling | 1 | 16.67% |
Large Language Model | 1 | 16.67% |
Sentence | 1 | 16.67% |
3D scene Editing | 1 | 16.67% |
Indoor Scene Synthesis | 1 | 16.67% |
Component | Type |
|
---|---|---|
CLIP
|
Image Representations | |
DGCNN
|
Graph Models | |
Latent Diffusion Model
|
Dimensionality Reduction | |
PointNet
|
3D Representations |