… We then generalize our diffusion distillation formulation to allow for such drift, and show that
… key differences) of our formulation with prior score distillation objectives, we also present a …

… In terms of the algorithmic formulation, we propose variational score distillation (VSD), a
principled particle-based variational framework that treats the 3D parameter as a random …

… Next, we discuss the popular score distillation methods under this analysis. We argue
that their … We show selected Painting-to-Real samples with diverse art styles and subjects. …

… With the WGAN paradigm, we find that existing score distillation … We propose the Adversarial
Score Distillation (ASD), which … Diversity. By switching seeds, we can easily get various …

… While NFSD enables better score distillation compared with SDS, two main … diversity. We
believe that the latter is a direct result of the distillation process mechanism: the diffusion scores …

… By synergizing the objectives of both Score identity Distillation (SiD) and Diffusion-GAN, …
by traditional score distillation methods. Through extensive experimentation on diverse datasets…

… view independently, without considering the diversity between different views. To address …
approach Entropic Score Distillation (ESD), which regularizes the score distillation process by …

… score distillation algorithm dubbed Score Distillation via … by inverting DDIM on each step
of score distillation (fig. 5). This … Additionally, we report the diversity of the generated shapes …

… and editing applications on diverse visual modalities. … a novel method, Collaborative
Score Distillation (CSD). CSD … update and combine their score functions to distill generative …

… expanding the scope of diversity considerations. For the accuracy score ACC(𝑢,𝑖), we
directly employ the score function 𝑓 (𝑢,𝑖). To compute the diversity score, we incorporate the …